Detection of gravitational-wave signals from binary neutron star mergers using machine learning


Detection of manatee vocalisations using the Audio Spectrogram Transformer


Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model


Detection of multiple retinal diseases in ultra-widefield fundus images using deep learning: data-driven identification of relevant regions


Detection of news written by the ChatGPT through authorship attribution performed by a Bidirectional LSTM model


Detection of nonlinear resonances among gravity modes of slowly pulsating B stars: results from five iterative prewhitening strategies


Detection of persistent signals and its relation to coherent feedforward loops


Detection of signaling mechanisms from cellular responses to multiple cues


Detection of the Cosmological Time Dilation of High Redshift Quasars


Detection of the infrared aurora at Uranus with Keck-NIRSPEC


Detection of the large-scale tidal field with galaxy multiplet alignment in the DESI Y1 spectroscopic survey


Detection of the solar internal flows with numerical simulation and machine learning


Detection of ultra-fast radio bursts from FRB 20121102A


Detection, Instance Segmentation, and Classification for Astronomical Surveys with Deep Learning (DeepDISC): Detectron2 Implementation and Demonstration with Hyper Suprime-Cam Data


Detection-Correction Structure via General Language Model for Grammatical Error Correction


Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline


Detection-segmentation convolutional neural network for autonomous vehicle perception


Detector Guidance for Multi-Object Text-to-Image Generation


Detector and Event Visualization with SketchUp at the CMS Experiment


Detector induced anisotropies on the angular distribution of gravitational wave sources and opportunities of constraining horizon scale anisotropies


Detector tilt considerations in high-energy Bragg coherent diffraction imaging: a simulation study


Detector-Free Weakly Supervised Grounding by Separation


DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks


Detectorless 3D terahertz imaging: achieving subwavelength resolution with reflectance confocal interferometric microscopy


DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy


DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners


Determinable and interpretable network representation for link prediction


Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization


Determinantal Point Process Likelihoods for Sequential Recommendation


Determinantal Point Process as an alternative to NMS


Determination of Mid-Infrared Refractive Indices of Superconducting Thin Films Using Fourier Transform Infrared Spectroscopy


Determination of Optimal Chain Coupling made by Embedding in D-Wave Quantum Annealer


Determination of Preferred Fiber Orientation State based on Newton-Raphson Method using Exact Jacobian


Determination of Trace Organic Contaminant Concentration via Machine Classification of Surface-Enhanced Raman Spectra


Determination of galaxy photometric redshifts using Conditional Generative Adversarial Networks (CGANs)


Determination of the Equation of State from Nuclear Experiments and Neutron Star Observations


Determination of the Semion Code Threshold using Neural Decoders


Determination of the asymptotic limits of adaptive photon counting measurements for coherent-state optical phase estimation


Determination of toxic comments and unintended model bias minimization using Deep learning approach


Determining AGN luminosity histories using present-day outflow properties: a neural-network based approach


Determining Accessible Sidewalk Width by Extracting Obstacle Information from Point Clouds


Determining Chess Game State From an Image


Determining HEDP Foams' Quality with Multi-View Deep Learning Classification


Determining Optimal Number of k-Clusters based on Predefined Level-of-Similarity


Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning


Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks


Determining Sphere Radius through Pairwise Distances


Determining clinically relevant features in cytometry data using persistent homology


Determining feature importance for actionable climate change mitigation policies


Determining liquid crystal properties with ordinal networks and machine learning


Determining number of factors under stability considerations


Determining probability density functions with adiabatic quantum computing


Determining the Dimension and Structure of the Subspace Correlated Across Multiple Data Sets


Determining the Number of Factors in High-dimensional Generalized Latent Factor Models


Determining the Twist Angle of Bilayer Graphene by Machine Learning Analysis of its Raman Spectrum


Determining the best classifier for predicting the value of a boolean field on a blood donor database using genetic algorithms


Determining the chemical potential via universal density functional learning


Determining the maximum information gain and optimising experimental design in neutron reflectometry using the Fisher information


Determining the primes of bad reduction of CM curves of genus 3


Determining the time before or after a galaxy merger event


Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations


Deterministic Decoding for Discrete Data in Variational Autoencoders


Deterministic Gibbs Sampling via Ordinary Differential Equations


Deterministic Global Optimization over trained Kolmogorov Arnold Networks


Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting


Deterministic Implementations for Reproducibility in Deep Reinforcement Learning


Deterministic Neural Illumination Mapping for Efficient Auto-White Balance Correction


Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement


Deterministic Random Walk Model in NetLogo and the Identification of Asymmetric Saturation Time in Random Graph


Deterministic Reversible Data Augmentation for Neural Machine Translation


Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning


Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency


Deterministic and Entanglement-Efficient Preparation of Amplitude-Encoded Quantum Registers


Deterministic and Nondeterministic Particle Motion with Interaction Mechanisms


Deterministic and Reliable Software-Defined Vehicles: key building blocks, challenges, and vision


Deterministic entanglement swapping of W states


Deterministic equivalent and error universality of deep random features learning


Deterministic error bounds for kernel-based learning techniques under bounded noise


Deterministic training of generative autoencoders using invertible layers


Deterministic transformations between unitary operations: Exponential advantage with adaptive quantum circuits and the power of indefinite causality


Detoxifying Language Models Risks Marginalizing Minority Voices


Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts


Detrive: Imitation Learning with Transformer Detection for End-to-End Autonomous Driving


Deuteros 2.0: Peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometry


Dev2vec: Representing Domain Expertise of Developers in an Embedding Space


DevBench: A multimodal developmental benchmark for language learning


DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories


DevGPT: Studying Developer-ChatGPT Conversations


DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction


Developer Discussion Topics on the Adoption and Barriers of Low Code Software Development Platforms


Developers' Perception: Fixed Bugs Often Overlooked as Quality Contributions


Developers' Perceptions on the Impact of ChatGPT in Software Development: A Survey


Developers' Visuo-spatial Mental Model and Program Comprehension


Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management


Developing A Visual-Interactive Interface for Electronic Health Record Labeling: An Explainable Machine Learning Approach


Developing Application Profiles for Enhancing Data and Workflows in Cultural Heritage Digitisation Processes


Developing Bug-Free Machine Learning Systems With Formal Mathematics


Developing Decentralised Resilience to Malicious Influence in Collective Perception Problem


Developing Deep Learning Algorithms for Inferring Upstream Separatrix Density at JET


Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis


Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography


Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies


Developing Linguistic Patterns to Mitigate Inherent Human Bias in Offensive Language Detection


Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction


Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging


Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks


Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report


Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?


Developing Simulation Models for Soft Robotic Grippers in Webots


Developing Synthesis Flows Without Human Knowledge


Developing a Fidelity Evaluation Approach for Interpretable Machine Learning


Developing a Fine-Grained Corpus for a Less-resourced Language: the case of Kurdish


Developing a High-Performance Process Mining Library with Java and Python Bindings in Rust


Developing a Hybrid Convolutional Neural Network for Automatic Aphid Counting in Sugar Beet Fields


Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions


Developing a Linear Fluid Plasma Model with Accurate Kinetic Bernstein Waves: A First Step


Developing a Multilingual Dataset and Evaluation Metrics for Code-Switching: A Focus on Hong Kong's Polylingual Dynamics


Developing a Portable Natural Language Processing Based Phenotyping System


Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models


Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models


Developing a Victorious Strategy to the Second Strong Gravitational Lensing Data Challenge


Developing a cost-effective emulator for groundwater flow modeling using deep neural operators


Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair


Developing a practical model for noise in entangled photon detection


Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence


Developing an Automated Detection, Tracking and Analysis Method for Solar Filaments Observed by CHASE via Machine Learning


Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem


Developing and Defeating Adversarial Examples


Developing and Refining a Multifunctional Facial Recognition System for Older Adults with Cognitive Impairments: A Journey Towards Enhanced Quality of Life


Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study


Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study


Developing hierarchical anticipations via neural network-based event segmentation


Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics


Developing multilingual speech synthesis system for Ojibwe, Mi'kmaq, and Maliseet


Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework


Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records


Development Of Raspberry Pi-based Processing Unit for UV Photon-Counting Detectors


Development and Adaptation of Robotic Vision in the Real-World: the Challenge of Door Detection


Development and Application of QM/MM Methods with Advanced Polarizable Potentials


Development and Application of a Decentralized Domain Name Service


Development and Benchmarking of JANGOFETT: A Novel Geant4-Operated Fission Event Tracking Tool


Development and Benchmarking of Multilingual Code Clone Detector


Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality


Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation


Development and Validation of a Dynamic-Template-Constrained Large Language Model for Generating Fully-Structured Radiology Reports


Development and analysis of entropy stable no-slip wall boundary conditions for the Eulerian model for viscous and heat conducting compressible flows


Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels


Development and external validation of a lung cancer risk estimation tool using gradient-boosting


Development and optimization of physics-informed neural networks for solving partial differential equations


Development of Compositionality and Generalization through Interactive Learning of Language and Action of Robots


Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data


Development of Quantum Circuits for Perceptron Neural Network Training, Based on the Principles of Grover's Algorithm


Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey


Development of a Novel Computational Model for Evaluating Fall Risk in Patient Room Design


Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models


Development of a PPO-Reinforcement Learned Walking Tripedal Soft-Legged Robot using SOFA


Development of a Smart Autonomous Irrigation System Using Iot and AI


Development of a Statistical Predictive Model for Daily Water Table Depth and Important Variables Selection for Inference


Development of a Tracklet Extraction Engine


Development of a skateboarding trick classifier using accelerometry and machine learning


Development of accurate human head models for personalized electromagnetic dosimetry using deep learning


Development of an automated millifluidic platform and data-analysis pipeline for rapid electrochemical corrosion measurements: a pH study on Zn-Ni


Development of biochar molecular models with controlled porosity


Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge Devices


Developmental Negation Processing in Transformer Language Models


Developmental Pretraining (DPT) for Image Classification Networks


Developmentally motivated emergence of compositional communication via template transfer


Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs


Deviation Maximization for Rank-Revealing QR Factorizations


Deviation-Based Learning: Training Recommender Systems Using Informed User Choice


Deviations from spectral Dirac comb due to semiperiodic pulses


Deviations in Representations Induced by Adversarial Attacks


Device Independent Quantum Key Activation


Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report


Device Tracking via Linux's New TCP Source Port Selection Algorithm (Extended Version)


Device for ECG prediction based on retinal vasculature analysis


Device-Independent Quantum Key Distribution Based on the Mermin-Peres Magic Square Game


Device-Independent Secret Sharing and a Stronger Form of Bell Nonlocality


Device-Robust Acoustic Scene Classification via Impulse Response Augmentation


Device-friendly Guava fruit and leaf disease detection using deep learning


Device-independent and semi-device-independent entanglement certification in broadcast Bell scenarios


Device-independent tests of structures of measurement incompatibility


Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion


Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery


Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction


Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation


Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ Segmentation


Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restoration


Devil's staircase inside shrimp-shaped regions reveals periodicity of plateau spikes and bursts


Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens


Devising PoPStat: A Metric Bridging Population Pyramids with Global Disease Mortality


Devito: an embedded domain-specific language for finite differences and geophysical exploration


Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network


Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning


DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects


DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode


DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model


DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision


DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy


DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness


DexMV: Imitation Learning for Dexterous Manipulation from Human Videos


DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode


DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References


DexYCB: A Benchmark for Capturing Hand Grasping of Objects


Dexterous Manipulation Primitives for the Real Robot Challenge


Dflow, a Python framework for constructing cloud-native AI-for-Science workflows


Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing


DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection


DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein Traces


DiC: Rethinking Conv3x3 Designs in Diffusion Models


DiCA: A Hardware-Software Co-Design for Differential Checkpointing in Intermittently Powered Devices


DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling


DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-Driving


DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias


DiFfRG: A Discretisation Framework for functional Renormalisation Group flows


DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation


DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer


DiGRAF: Diffeomorphic Graph-Adaptive Activation Function


DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators


DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection


DiGress: Discrete Denoising diffusion for graph generation


DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation


DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation


DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models


DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis


DiM: Distilling Dataset into Generative Model


DiMB-RE: Mining the Scientific Literature for Diet-Microbiome Associations


DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies


DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation


DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation


DiMeR: Disentangled Mesh Reconstruction Model


DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution


DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models


DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation


DiNeR: a Large Realistic Dataset for Evaluating Compositional Generalization


DiP: Learning Discriminative Implicit Parts for Person Re-Identification


DiPD: Disruptive event Prediction Dataset from Twitter


DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection


DiPPS: Differentially Private Propensity Scores for Bias Correction


DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization


DiPietro-Hazari Kappa: A Novel Metric for Assessing Labeling Quality via Annotation


DiPolMol-Py: A Python package for calculations for $^2Σ$ ground-state molecules


DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis


DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale Data


DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models


DiResNet: Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images


DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction


DiSA: Diffusion Step Annealing in Autoregressive Image Generation


DiSC: Differential Spectral Clustering of Features


DiSCO: Differentiable Scan Context with Orientation


DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search


DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles


DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF


DiSparse: Disentangled Sparsification for Multitask Model Compression


DiT-SGCR: Directed Temporal Structural Representation with Global-Cluster Awareness for Ethereum Malicious Account Detection


DiT: Efficient Vision Transformers with Dynamic Token Routing


DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing


DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation


DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks


DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers


DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions


DiVISe: Direct Visual-Input Speech Synthesis Preserving Speaker Characteristics And Intelligibility


DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels from User Comments for Music


DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis


DiaBlo: Diagonal Blocks Are Sufficient For Finetuning


DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models


DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction


DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings


DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET


DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors


DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions


DiabetesNet: A Deep Learning Approach to Diabetes Diagnosis


Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management


Diable: Efficient Dialogue State Tracking as Operations on Tables


Diachronic Embedding for Temporal Knowledge Graph Completion


Diaconis-Ylvisaker prior penalized likelihood for $p/n \to κ\in (0,1)$ logistic regression


Diacritics Restoration using BERT with Analysis on Czech language


Diaformer: Automatic Diagnosis via Symptoms Sequence Generation


DiagESC: Dialogue Synthesis for Integrating Depression Diagnosis into Emotional Support Conversation


DiagSet: a dataset for prostate cancer histopathological image classification


DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities


Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification


Diagnosing BERT with Retrieval Heuristics


Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures


Diagnosing Colorectal Polyps in the Wild with Capsule Networks


Diagnosing Error in Temporal Action Detectors


Diagnosing Errors in Video Relation Detectors


Diagnosing Human-object Interaction Detectors


Diagnosing Medical Datasets with Training Dynamics


Diagnosing Model Performance Under Distribution Shift


Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making


Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks


Diagnosing and Fixing Manifold Overfitting in Deep Generative Models


Diagnosing and Re-learning for Balanced Multimodal Learning


Diagnosing and Rectifying Vision Models using Language


Diagnosing and fixing common problems in Bayesian optimization for molecule design


Diagnosing applications' I/O behavior through system call observability


Diagnosing crosstalk in large-scale QPUs using zero-entropy classical shadows


Diagnosing our datasets: How does my language model learn clinical information?


Diagnosing the Environment Bias in Vision-and-Language Navigation


Diagnosing the massive-seed pathway to high-redshift black holes: statistics of the evolving black hole to host galaxy mass ratio


Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification


Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method


Diagnosis via Proofs of Unsatisfiability for First-Order Logic with Relational Objects


Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks


DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models


Diagnosising Helicobacter pylori using AutoEncoders and Limited Annotations through Anomalous Staining Patterns in IHC Whole Slide Images


Diagnostic Tests for Nested Sampling Calculations


Diagnostic Tool for Out-of-Sample Model Evaluation


Diagnostic diagrams for ram-pressure stripped candidates


Diagnostics for Conditional Density Models and Bayesian Inference Algorithms


Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks


Diagnostics for categorical response models based on quantile residuals and distance measures


Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts


Diagonal RNNs in Symbolic Music Modeling


Diagonal asymptotics for symmetric rational functions via ACSV


Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing


Diagram Formalization Enhanced Multi-Modal Geometry Problem Solver


Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems


DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement


DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models


DialFact: A Benchmark for Fact-Checking in Dialogue


DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines


DialMed: A Dataset for Dialogue-based Medication Recommendation


DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational Agents


Dialect Normalization using Large Language Models and Morphological Rules


Dialect prejudice predicts AI decisions about people's character, employability, and criminality


Dialectal Toxicity Detection: Evaluating LLM-as-a-Judge Consistency Across Language Varieties


Dialectical Reconciliation via Structured Argumentative Dialogues


DialoGen: Generalized Long-Range Context Representation for Dialogue Systems


DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues


DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation


Dialog Flow Induction for Constrainable LLM-Based Chatbots


Dialog Inpainting: Turning Documents into Dialogs


Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data


Dialog-based Interactive Image Retrieval


Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction


DialogBench: Evaluating LLMs as Human-like Dialogue Systems


DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset


DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments


DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI


DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection


Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner


Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs


Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents


Dialogue Coherence Assessment Without Explicit Dialogue Act Labels


Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization


Dialogue Disentanglement in Software Engineering: How Far are We?


Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data


Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning


Dialogue Injection Attack: Jailbreaking LLMs through Context Manipulation


Dialogue Management for Interactive API Search


Dialogue Meaning Representation for Task-Oriented Dialogue Systems


Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue


Dialogue Policies for Confusion Mitigation in Situated HRI


Dialogue Quality and Emotion Annotations for Customer Support Conversations


Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks


Dialogue Response Selection with Hierarchical Curriculum Learning


Dialogue State Induction Using Neural Latent Variable Models


Dialogue State Tracking with Multi-Level Fusion of Predicted Dialogue States and Conversations


Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking


Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning


Dialogue-adaptive Language Model Pre-training From Quality Estimation


Dialogue-based generation of self-driving simulation scenarios using Large Language Models


DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue


DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations


DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings


DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations


Diameter Polytopes of Feasible Binary Programs


Diametrical Risk Minimization: Theory and Computations


Diamond in the rough: Improving image realism by traversing the GAN latent space


DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis


Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance


Dice: Compiling Discrete Probabilistic Programs for Scalable Inference


Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks


Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking


Dichroic polarization at mid-infrared wavelengths: a Bayesian approach


Dict-BERT: Enhancing Language Model Pre-training with Dictionary


Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech


Dictionary Attack on IMU-based Gait Authentication


Dictionary Attacks on Speaker Verification


Dictionary Learning for the Almost-Linear Sparsity Regime


Dictionary Learning with Uniform Sparse Representations for Anomaly Detection


Dictionary learning for clustering on hyperspectral images


Dictionary of 140k GDB and ZINC derived AMONs


Dictionary-Assisted Supervised Contrastive Learning


Dictionary-based Debiasing of Pre-trained Word Embeddings


Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies


Did Kepler-444 have a long-lived convective core?


Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL


Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning


Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking


Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge


Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction


Did the Musk Takeover Boost Contentious Actors on Twitter?


Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models


Did they answer? Subjective acts and intents in conversational discourse


Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling


Did you hear that? Adversarial Examples Against Automatic Speech Recognition


Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential


Diet deep generative audio models with structured lottery


Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns


DietCNN: Multiplication-free Inference for Quantized CNNs


Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting


DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models


DifFSS: Diffusion Model for Few-Shot Semantic Segmentation


DifFace: Blind Face Restoration with Diffused Error Contraction


DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution


Diff-BGM: A Diffusion Model for Video Background Music Generation


Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion Models


Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG


Diff-Font: Diffusion Model for Robust One-Shot Font Generation


Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker Adaptation


Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric Videos


Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models


Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior


Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models


Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation


Diff-Reg v1: Diffusion Matching Model for Registration Problem


Diff-SV: A Unified Hierarchical Framework for Noise-Robust Speaker Verification Using Score-Based Diffusion Probabilistic Models


Diff-Shadow: Global-guided Diffusion Model for Shadow Removal


Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation


Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning


Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models


Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization


Diff4VS: HIV-inhibiting Molecules Generation with Classifier Guidance Diffusion for Virtual Screening


Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation


DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection


DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation


DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model


DiffArtist: Towards Structure and Appearance Controllable Image Stylization


DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly


DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion


DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification


DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation


DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception


DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis


DiffBindFR: An SE(3) Equivariant Network for Flexible Protein-Ligand Docking


DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models


DiffBody: Diffusion-based Pose and Shape Editing of Human Images


DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model


DiffBreak: Is Diffusion-Based Purification Robust?


DiffCLIP: Few-shot Language-driven Multimodal Classifier


DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models


DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning


DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting


DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model


DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits


DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning


DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact


DiffCo: Auto-Differentiable Proxy Collision Detection with Multi-class Labels for Safety-Aware Trajectory Optimization


DiffDA: a Diffusion Model for Weather-scale Data Assimilation


DiffDefense: Defending against Adversarial Attacks via Diffusion Models


DiffDet4SAR: Diffusion-based Aircraft Target Detection Network for SAR Images


DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models


DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder


DiffER: Categorical Diffusion for Chemical Retrosynthesis


DiffEnc: Variational Diffusion with a Learned Encoder


DiffFAS: Face Anti-Spoofing via Generative Diffusion Models


DiffFace: Diffusion-based Face Swapping with Facial Guidance


DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model


DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models


DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification


DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models


DiffG-RL: Leveraging Difference between State and Common Sense


DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector


DiffGraph: Heterogeneous Graph Diffusion Model


DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models


DiffHarmony: Latent Diffusion Model Meets Image Harmonization


DiffHopp: A Graph Diffusion Model for Novel Drug Design via Scaffold Hopping


DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation


DiffIR: Efficient Diffusion Model for Image Restoration


DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation


DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology


DiffKG: Knowledge Graph Diffusion Model for Recommendation


DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation


DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images


DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification


DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data


DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model


DiffLoss: unleashing diffusion model as constraint for training image restoration network


DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification


DiffMM: Multi-Modal Diffusion Model for Recommendation


DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra


DiffMoog: a Differentiable Modular Synthesizer for Sound Matching


DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model


DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation


DiffO: Single-step Diffusion for Image Compression at Ultra-Low Bitrates


DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination


DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load


DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction


DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing


DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion


DiffPhyCon: A Generative Approach to Control Complex Physical Systems


DiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis


DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis


DiffPose: Toward More Reliable 3D Pose Estimation


DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data


DiffProb: Data Pruning for Face Recognition


DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial Training


DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection


DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and $L_0$ Regularization


DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services


DiffRate : Differentiable Compression Rate for Efficient Vision Transformers


DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation


DiffRed: Dimensionality Reduction guided by stable rank


DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model


DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints


DiffSF: Diffusion Models for Scene Flow Estimation


DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization


DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator


DiffSearch: A Scalable and Precise Search Engine for Code Changes


DiffSign: AI-Assisted Generation of Customizable Sign Language Videos With Enhanced Realism


DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models


DiffSketching: Sketch Control Image Synthesis with Diffusion Models


DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing


DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformer


DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models


DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization


DiffStyler: Diffusion-based Localized Image Style Transfer


DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion


DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning


DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation


DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model


DiffUTE: Universal Text Editing Diffusion Model


DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding


DiffX: Guide Your Layout to Cross-Modal Generative Modeling


DiffeoRaptor: Diffeomorphic Inter-modal Image Registration using RaPTOR


Diffeomorphic Counterfactuals with Generative Models


Diffeomorphic ICP Registration for Single and Multiple Point Sets


Diffeomorphic Information Neural Estimation


Diffeomorphic Measure Matching with Kernels for Generative Modeling


Diffeomorphic Particle Image Velocimetry


Diffeomorphic Registration using Sinkhorn Divergences


Diffeomorphic random sampling using optimal information transport


Diffeomorphically Learning Stable Koopman Operators


Diffeomorphism Neural Operator for various domains and parameters of partial differential equations


DifferSketching: How Differently Do People Sketch 3D Objects?


Difference Tones in "Non-Pythagorean" Scales Based on Logarithms


Difference of Anisotropic and Isotropic TV for Segmentation under Blur and Poisson Noise


Difference of Submodular Minimization via DC Programming


Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation


Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period


Difference-in-Differences for Ordinal Outcomes: Application to the Effect of Mass Shootings on Attitudes toward Gun Control


Difference-in-Differences for Policy Evaluation


Difference-in-Differences with Geocoded Microdata


Differences Between Hard and Noisy-labeled Samples: An Empirical Study


Differences between Stable and Unstable Architectures of Compact Planetary Systems


Differences between human and machine perception in medical diagnosis


Differences in academic preparedness do not fully explain Black-White enrollment disparities in advanced high school coursework


Differences in the spatial landscape of urban mobility: gender and socioeconomic perspectives


Differences-in-Neighbors for Network Interference in Experiments


Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach


Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach


Different Spectral Representations in Optimized Artificial Neural Networks and Brains


Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations


Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning


Different roles for inhibition in the rhythm-generating respiratory network


Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics


Differentiable Adversarial Attacks for Marked Temporal Point Processes


Differentiable Analog Quantum Computing for Optimization and Control


Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution


Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference


Differentiable Augmentation for Data-Efficient GAN Training


Differentiable Bayesian Structure Learning with Acyclicity Assurance


Differentiable Bilevel Programming for Stackelberg Congestion Games


Differentiable Black-box and Gray-box Modeling of Nonlinear Audio Effects


Differentiable Boustrophedon Paths That Enable Optimization Via Gradient Descent


Differentiable Causal Backdoor Discovery


Differentiable Causal Discovery Under Latent Interventions


Differentiable Causal Discovery Under Unmeasured Confounding


Differentiable Causal Discovery from Interventional Data


Differentiable Channel Selection in Self-Attention For Person Re-Identification


Differentiable Collision-Free Parametric Corridors


Differentiable Combinatorial Scheduling at Scale


Differentiable Compliant Contact Primitives for Estimation and Model Predictive Control


Differentiable Computational Geometry for 2D and 3D machine learning


Differentiable Convex Polyhedra Optimization from Multi-view Images


Differentiable Data Augmentation for Contrastive Sentence Representation Learning


Differentiable Data Augmentation with Kornia


Differentiable Diffusion for Dense Depth Estimation from Multi-view Images


Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects


Differentiable Distributionally Robust Optimization Layers


Differentiable Divergences Between Time Series


Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games


Differentiable Forward Kinematics for TensorFlow 2


Differentiable Forward Projector for X-ray Computed Tomography


Differentiable Fuzzy Cosmic-Web for Field Level Inference


Differentiable Fuzzy Neural Networks for Recommender Systems


Differentiable Geodesic Distance for Intrinsic Minimization on Triangle Meshes


Differentiable Graph Module (DGM) for Graph Convolutional Networks


Differentiable High-Order Markov Models for Spectrum Prediction


Differentiable Inductive Logic Programming for Structured Examples


Differentiable Inductive Logic Programming in High-Dimensional Space


Differentiable Inference of Temporal Logic Formulas


Differentiable Instruction Optimization for Cross-Task Generalization


Differentiable Interacting Multiple Model Particle Filtering


Differentiable Iterated Function Systems


Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers


Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks


Differentiable Learning of Quantum Circuit Born Machine


Differentiable MPC for End-to-end Planning and Control


Differentiable Mapper For Topological Optimization Of Data Representation


Differentiable Model Compression via Pseudo Quantization Noise


Differentiable Model Scaling using Differentiable Topk


Differentiable Model Selection for Ensemble Learning


Differentiable Modelling of Percussive Audio with Transient and Spectral Synthesis


Differentiable Molecular Simulations for Control and Learning


Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing


Differentiable Multi-Target Causal Bayesian Experimental Design


Differentiable N-gram Objective on Abstractive Summarization


Differentiable Neural Architecture Learning for Efficient Neural Network Design


Differentiable Neural Computers with Memory Demon


Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity


Differentiable Nonlinear Model Predictive Control


Differentiable Optimization of Similarity Scores Between Models and Brains


Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis


Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation


Differentiable Particle Filtering via Entropy-Regularized Optimal Transport


Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors


Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?


Differentiable Point-Based Radiance Fields for Efficient View Synthesis


Differentiable Product Quantization for Memory Efficient Camera Relocalization


Differentiable Programming Tensor Networks


Differentiable Programming for Computational Plasma Physics


Differentiable Programming for Differential Equations: A Review


Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model


Differentiable Programming of Isometric Tensor Networks


Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision


Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners


Differentiable Quadratic Optimization For The Maximum Independent Set Problem


Differentiable Quantum Computing for Large-scale Linear Control


Differentiable Quantum Programming with Unbounded Loops


Differentiable Random Access Memory using Lattices


Differentiable Rendering with Reparameterized Volume Sampling


Differentiable Resolution Compression and Alignment for Efficient Video Classification and Retrieval


Differentiable Rotamer Sampling with Molecular Force Fields


Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging Problems


Differentiable Scattering Matrix for Optimization of Photonic Structures


Differentiable Segmentation of Sequences


Differentiable Shadow Mapping for Efficient Inverse Graphics


Differentiable Simulations for Enhanced Sampling of Rare Events


Differentiable Simulator For Dynamic & Stochastic Optimal Gas & Power Flows


Differentiable Stereopsis: Meshes from multiple views using differentiable rendering


Differentiable Surface Splatting for Point-based Geometry Processing


Differentiable Top-k Classification Learning


Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks


Differentiable Tree Operations Promote Compositional Generalization


Differentiable Trust Region Layers for Deep Reinforcement Learning


Differentiable Unsupervised Feature Selection based on a Gated Laplacian


Differentiable VQ-VAE's for Robust White Matter Streamline Encodings


Differentiable Vertex Fitting for Jet Flavour Tagging


Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision


Differentiable Voronoi Diagrams for Simulation of Cell-Based Mechanical Systems


Differentiable Voxel-based X-ray Rendering Improves Sparse-View 3D CBCT Reconstruction


Differentiable Weightless Neural Networks


Differentiable and Transportable Structure Learning


Differentiable and accelerated wavelet transforms on the sphere and ball


Differentiable graph-structured models for inverse design of lattice materials


Differentiable probabilistic models of scientific imaging with the Fourier slice theorem


Differentiable programming for functional connectomics


Differentiable programming for particle physics simulations


Differentiable programming tensor networks for Kitaev magnets


Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks


Differentiable-Optimization Based Neural Policy for Occlusion-Aware Target Tracking


Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection


Differential Assessment of Black-Box AI Agents


Differential Attention for Multimodal Crisis Event Analysis


Differential Co-Abundance Network Analyses for Microbiome Data Adjusted for Clinical Covariates Using Jackknife Pseudo-Values


Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings


Differential Dynamic Microscopy can be applied to Differential Interference Contrast images despite shadowing effects


Differential Equation Units: Learning Functional Forms of Activation Functions from Data


Differential Evolution Algorithm based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition


Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting


Differential Evolution for Neural Architecture Search


Differential Evolution with Reversible Linear Transformations


Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design


Differential Privacy Has Disparate Impact on Model Accuracy


Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?


Differential Privacy has Bounded Impact on Fairness in Classification


Differential Privacy in Cooperative Multiagent Planning


Differential Privacy via Distributionally Robust Optimization


Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance


Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation


Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach


Differential dynamic programming with stagewise equality and inequality constraints using interior point method


Differential equation and probability inspired graph neural networks for latent variable learning


Differential invariants for SE(2)-equivariant networks


Differential item functioning via robust scaling


Differential privacy for symmetric log-concave mechanisms


Differential recall bias in estimating treatment effects in observational studies


Differential reflectivity columns and hail -- linking C-band radar-based estimated column characteristics to crowdsourced hail observations in Switzerland


Differential testing for machine learning: an analysis for classification algorithms beyond deep learning


Differential virial analysis: a new technique to determine the dynamical state of molecular clouds


Differential voltage analysis for battery manufacturing process control


Differential-Critic GAN: Generating What You Want by a Cue of Preferences


Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning


Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter


Differentially Private Accelerated Optimization Algorithms


Differentially Private Active Learning: Balancing Effective Data Selection and Privacy


Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings


Differentially Private Adaptive Optimization with Delayed Preconditioners


Differentially Private Algorithms for Synthetic Power System Datasets


Differentially Private Bayesian Learning on Distributed Data


Differentially Private Best-Arm Identification


Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies


Differentially Private Continual Release of Graph Statistics


Differentially Private Convex Optimization with Feasibility Guarantees


Differentially Private Data Generation with Missing Data


Differentially Private Database Release via Kernel Mean Embeddings


Differentially Private Decentralized Learning with Random Walks


Differentially Private Distributed Bayesian Linear Regression with MCMC


Differentially Private Distributed Estimation and Learning


Differentially Private Distributed Inference


Differentially Private Ensemble Classifiers for Data Streams


Differentially Private Estimation of Heterogeneous Causal Effects


Differentially Private Fair Binary Classifications


Differentially Private Federated $k$-Means Clustering with Server-Side Data


Differentially Private Federated Knowledge Graphs Embedding


Differentially Private Federated Learning for Cancer Prediction


Differentially Private Federated Learning via Reconfigurable Intelligent Surface


Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix


Differentially Private Federated Variational Inference


Differentially Private Formation Control: Privacy and Network Co-Design


Differentially Private Generation of Small Images


Differentially Private Generative Adversarial Network


Differentially Private Gradient Flow based on the Sliced Wasserstein Distance


Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank


Differentially Private Hamiltonian Monte Carlo


Differentially Private Health Tokens for Estimating COVID-19 Risk


Differentially Private Image Classification from Features


Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition


Differentially Private Knowledge Distillation via Synthetic Text Generation


Differentially Private Kolmogorov-Smirnov-Type Tests


Differentially Private Learning Needs Better Model Initialization and Self-Distillation


Differentially Private Markov Chain Monte Carlo


Differentially Private Maximal Information Coefficients


Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?


Differentially Private Next-Token Prediction of Large Language Models


Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records


Differentially Private Online Bayesian Estimation With Adaptive Truncation


Differentially Private Optimal Power Flow for Distribution Grids


Differentially Private Permutation Tests: Applications to Kernel Methods


Differentially Private Post-Processing for Fair Regression


Differentially Private Quantiles with Smaller Error


Differentially Private Random Feature Model


Differentially Private Regret Minimization in Episodic Markov Decision Processes


Differentially Private Relational Learning with Entity-level Privacy Guarantees


Differentially Private Release of Israel's National Registry of Live Births


Differentially Private Representation Learning via Image Captioning


Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach


Differentially Private Selection using Smooth Sensitivity


Differentially Private Sharpness-Aware Training


Differentially Private Sliced Wasserstein Distance


Differentially Private Spatiotemporal Trajectory Synthesis with Retained Data Utility


Differentially Private Steering for Large Language Model Alignment


Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement


Differentially Private Synthetic Data Generation for Relational Databases


Differentially Private Synthetic Data via Foundation Model APIs 2: Text


Differentially Private Synthetic Data: Applied Evaluations and Enhancements


Differentially Private Synthetic Medical Data Generation using Convolutional GANs


Differentially Private Topological Data Analysis


Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model


Differentially Testing Soundness and Precision of Program Analyzers


Differentially private cross-silo federated learning


Differentially private federated deep learning for multi-site medical image segmentation


Differentially private inference via noisy optimization


Differentially private multivariate medians


Differentially private partition selection


Differentially private projection-depth-based medians


Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control


Differentially-Private Decision Trees and Provable Robustness to Data Poisoning


Differentially-Private Federated Linear Bandits


Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees


Differentiate Everything with a Reversible Embeded Domain-Specific Language


Differentiated uniformization: A new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models


Differentiating Choices via Commonality for Multiple-Choice Question Answering


Differentiating Concepts and Instances for Knowledge Graph Embedding


Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models


Differentiating Population Spatial Behavior using Representative Features of Geospatial Mobility (ReFGeM)


Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting


Differentiating the L\'evy walk from a composite correlated random walk


DiffiT: Diffusion Vision Transformers for Image Generation


Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs


Difficult for Whom? A Study of Japanese Lexical Complexity


Difficulty Translation in Histopathology Images


Difficulty in chirality recognition for Transformer architectures learning chemical structures from string


Difficulty-Aware Machine Translation Evaluation


Difficulty-Aware Simulator for Open Set Recognition


Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition


Difficulty-aware Balancing Margin Loss for Long-tailed Recognition


Difficulty-aware Image Super Resolution via Deep Adaptive Dual-Network


Diffie-Hellman Picture Show: Key Exchange Stories from Commercial VoWiFi Deployments


Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement


Difflare: Removing Image Lens Flare with Latent Diffusion Model


Diffraction and interference with run-and-tumble particles


Diffraction tomography with a deep image prior


Diffractons: solitary waves created by diffraction in periodic media


Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model


Diffstar: A Fully Parametric Physical Model for Galaxy Assembly History


DiffuBox: Refining 3D Object Detection with Point Diffusion


DiffuCOMET: Contextual Commonsense Knowledge Diffusion


DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation


DiffuEraser: A Diffusion Model for Video Inpainting


DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models


DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models


DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model


DiffuRec: A Diffusion Model for Sequential Recommendation


DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information


DiffuSum: Generation Enhanced Extractive Summarization with Diffusion


DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification


Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces


Diffuse X-ray emission around an ultraluminous X-ray pulsar


Diffuse neutrino background from past core-collapse supernovae


Diffuse or Confuse: A Diffusion Deepfake Speech Dataset


Diffuse radio sky models using large scale shapelets


Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion


DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising


DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models


DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance


DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration


DiffuseST: Unleashing the Capability of the Diffusion Model for Style Transfer


Diffuser-assisted Photometric Follow-up Observations of the Neptune-sized Planets K2-28b and K2-100b


Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences


Diffusing Gaussian Mixtures for Generating Categorical Data


Diffusing States and Matching Scores: A New Framework for Imitation Learning


Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning


Diffusio-phoretic fast swelling of chemically responsive hydrogels


DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models


Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features


Diffusion Actor-Critic with Entropy Regulator


Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning


Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting


Diffusion Autoencoders: Toward a Meaningful and Decodable Representation


Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage


Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models


Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling


Diffusion Classifiers Understand Compositionality, but Conditions Apply


Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image Generations


Diffusion Counterfactual Generation with Semantic Abduction


Diffusion Counterfactuals for Image Regressors


Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion


Diffusion Deformable Model for 4D Temporal Medical Image Generation


Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection


Diffusion Distillation With Direct Preference Optimization For Efficient 3D LiDAR Scene Completion


Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector


Diffusion Earth Mover's Distance and Distribution Embeddings


Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing Imagery


Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion


Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure


Diffusion Features to Bridge Domain Gap for Semantic Segmentation


Diffusion Feedback Helps CLIP See Better


Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization


Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images


Diffusion Generative Modelling for Divide-and-Conquer MCMC


Diffusion Generative Models in Infinite Dimensions


Diffusion Guidance Is a Controllable Policy Improvement Operator


Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning


Diffusion MRI with double diffusion encoding and variable mixing times disentangles water exchange from intrinsic kurtosis


Diffusion Maps Kalman Filter for a Class of Systems with Gradient Flows


Diffusion Mechanism in Residual Neural Network: Theory and Applications


Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment


Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation


Diffusion Model as Representation Learner


Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization


Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter


Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning


Diffusion Model-Based Image Editing: A Survey


Diffusion Model-Based Video Editing: A Survey


Diffusion Models Beat GANs on Topology Optimization


Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach


Diffusion Models With Learned Adaptive Noise


Diffusion Models already have a Semantic Latent Space


Diffusion Models and Representation Learning: A Survey


Diffusion Models are Certifiably Robust Classifiers


Diffusion Models are Evolutionary Algorithms


Diffusion Models as Optimizers for Efficient Planning in Offline RL


Diffusion Models as Stochastic Quantization in Lattice Field Theory


Diffusion Models for Adversarial Purification


Diffusion Models for Black-Box Optimization


Diffusion Models for Causal Discovery via Topological Ordering


Diffusion Models for Conditional Generation of Hypothetical New Families of Superconductors


Diffusion Models for Counterfactual Explanations


Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images


Diffusion Models for Generative Outfit Recommendation


Diffusion Models for Graphs Benefit From Discrete State Spaces


Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey


Diffusion Models for Imperceptible and Transferable Adversarial Attack


Diffusion Models for Implicit Image Segmentation Ensembles


Diffusion Models for Medical Image Analysis: A Comprehensive Survey


Diffusion Models for Molecules: A Survey of Methods and Tasks


Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions


Diffusion Models for Non-autoregressive Text Generation: A Survey


Diffusion Models for Probabilistic Deconvolution of Galaxy Images


Diffusion Models for Reinforcement Learning: A Survey


Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions


Diffusion Models for Video Prediction and Infilling


Diffusion Models in Low-Level Vision: A Survey


Diffusion Models in Recommendation Systems: A Survey


Diffusion Models with Anisotropic Gaussian Splatting for Image Inpainting


Diffusion Models with Deterministic Normalizing Flow Priors


Diffusion Models with Implicit Guidance for Medical Anomaly Detection


Diffusion Models without Classifier-free Guidance


Diffusion Models: A Comprehensive Survey of Methods and Applications


Diffusion Noise Feature: Accurate and Fast Generated Image Detection


Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning


Diffusion Policies creating a Trust Region for Offline Reinforcement Learning


Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering


Diffusion Posterior Proximal Sampling for Image Restoration


Diffusion Posterior Sampling for General Noisy Inverse Problems


Diffusion Posterior Sampling for Informed Single-Channel Dereverberation


Diffusion Predictive Control with Constraints


Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems


Diffusion Priors for Variational Likelihood Estimation and Image Denoising


Diffusion Probabilistic Modeling for Video Generation


Diffusion Probabilistic Models beat GANs on Medical Images


Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data


Diffusion Reward: Learning Rewards via Conditional Video Diffusion


Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample Filtering


Diffusion Sampling with Momentum for Mitigating Divergence Artifacts


Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling


Diffusion Sequence Models for Enhanced Protein Representation and Generation


Diffusion State-Guided Projected Gradient for Inverse Problems


Diffusion Stochastic Optimization for Min-Max Problems


Diffusion Time-step Curriculum for One Image to 3D Generation


Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction


Diffusion Transformers for Tabular Data Time Series Generation


Diffusion Twigs with Loop Guidance for Conditional Graph Generation


Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation


Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction


Diffusion Visual Counterfactual Explanations


Diffusion and pattern formation in spatial games


Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control


Diffusion bridges for stochastic Hamiltonian systems and shape evolutions


Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond


Diffusion for World Modeling: Visual Details Matter in Atari


Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation


Diffusion in Zero-Shot Learning for Environmental Audio


Diffusion in arrays of obstacles: beyond homogenisation


Diffusion in heterogeneous discs and spheres: new closed-form expressions for exit times and homogenization formulae


Diffusion in multi-dimensional solids using Forman's combinatorial differential forms


Diffusion models as plug-and-play priors


Diffusion models for missing value imputation in tabular data


Diffusion models for probabilistic programming


Diffusion models meet image counter-forensics


Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models


Diffusion of light in structurally anisotropic media with uniaxial symmetry


Diffusion plays an unusual role in ecological quasi-neutral competition in metapopulations


Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem


Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models


Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission


Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation


Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability


Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection


Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems


Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays


Diffusion-Based Imaginative Coordination for Bimanual Manipulation


Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found Data


Diffusion-Based Neural Network Weights Generation


Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients


Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning


Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose Estimation


Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation


Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following


Diffusion-GAN: Training GANs with Diffusion


Diffusion-HMC: Parameter Inference with Diffusion-model-driven Hamiltonian Monte Carlo


Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging Domains


Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters


Diffusion-LM Improves Controllable Text Generation


Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models


Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization


Diffusion-RSCC: Diffusion Probabilistic Model for Change Captioning in Remote Sensing Images


Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models


Diffusion-SDF: Text-to-Shape via Voxelized Diffusion


Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection


Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening


Diffusion-Shock Filtering on the Space of Positions and Orientations


Diffusion-TS: Interpretable Diffusion for General Time Series Generation


Diffusion-aware Censored Gaussian Processes for Demand Modelling


Diffusion-based Adversarial Purification for Intrusion Detection


Diffusion-based Conditional ECG Generation with Structured State Space Models


Diffusion-based Contrastive Learning for Sequential Recommendation


Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading


Diffusion-based Data Augmentation for Nuclei Image Segmentation


Diffusion-based Generation, Optimization, and Planning in 3D Scenes


Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images


Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation


Diffusion-based Graph Generative Methods


Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion


Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection


Diffusion-based Image Translation using Disentangled Style and Content Representation


Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection


Diffusion-based Negative Sampling on Graphs for Link Prediction


Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaiton


Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services


Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization


Diffusion-based Visual Anagram as Multi-task Learning


Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative Evaluation


Diffusion-based image inpainting with internal learning


Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation


Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models


DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models


DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation


DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation


DiffusionDet: Diffusion Model for Object Detection


DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving


DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection


DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis


DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion


DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing


DiffusionLight: Light Probes for Free by Painting a Chrome Ball


DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models


DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation


DiffusionNet: Accelerating the solution of Time-Dependent partial differential equations using deep learning


DiffusionPDE: Generative PDE-Solving Under Partial Observation


DiffusionPen: Towards Controlling the Style of Handwritten Text Generation


DiffusionRig: Learning Personalized Priors for Facial Appearance Editing


DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models


DiffusionTalker: Efficient and Compact Speech-Driven 3D Talking Head via Personalizer-Guided Distillation


DiffusionTrack: Diffusion Model For Multi-Object Tracking


DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models


Diffusive coupling facilitates and impedes noise-induced escape in interacting bistable elements


Diffusive search and trajectories on spatial networks: a propagator approach


Diffusive solver: a diffusion-equations solver based on FEniCS


Diffy: Inductive Reasoning of Array Programs using Difference Invariants


DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data


Digestion Algorithm in Hierarchical Symbolic Forests: A Fast Text Normalization Algorithm and Semantic Parsing Framework for Specific Scenarios and Lightweight Deployment


Digging Into Normal Incorporated Stereo Matching


Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching


Digging into Uncertainty in Self-supervised Multi-view Stereo


Digging into contrastive learning for robust depth estimation with diffusion models


DigiFace-1M: 1 Million Digital Face Images for Face Recognition


Digital Beamforming Enhanced Radar Odometry


Digital Building Twins and Blockchain for Performance-Based (Smart) Contracts


Digital Discovery of interferometric Gravitational Wave Detectors


Digital Editions as Distant Supervision for Layout Analysis of Printed Books


Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)


Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times


Digital Image Forensics using Deep Learning


Digital Player: Evaluating Large Language Models based Human-like Agent in Games


Digital Semantic Communications: An Alternating Multi-Phase Training Strategy with Mask Attack


Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data


Digital Traces of Brain Drain: Developers during the Russian Invasion of Ukraine


Digital Transformation in the Water Distribution System based on the Digital Twins Concept


Digital Twin Aided Channel Estimation: Zone-Specific Subspace Prediction and Calibration


Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid Precoding


Digital Twin Aided RIS Communication: Robust Beamforming and Interference Management


Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality?


Digital Twin Generation from Visual Data: A Survey


Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach


Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation


Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users


Digital Twin for Porous Electrodes in Redox Flow Batteries


Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks


Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning


Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning


Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems


Digital Twin-based Intrusion Detection for Industrial Control Systems


Digital and Hybrid Precoding Designs in Massive MIMO with Low-Resolution ADCs


Digital cities and the spread of COVID-19: characterizing the impact of non-pharmaceutical interventions in five cities in Spain


Digital pathology-based study of cell- and tissue-level morphologic features in serous borderline ovarian tumor and high-grade serous ovarian cancer


Digital phase-only holography using deep conditional generative models


Digital requirements engineering with an INCOSE-derived SysML meta-model


Digital stabilization of an IQ modulator in the carrier suppressed single side-band (CS-SSB) mode for atom interferometry


Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic


Digital-twin-enhanced metal tube bending forming real-time prediction method based on Multi-source-input MTL


Digitalization of exceptional simple Lie algebras into matrices over complex numbers


Digitization of the Australian Parliamentary Debates, 1998-2022


Digitized Counter-Diabatic Quantum Optimization for Bin Packing Problem


Digitizing Touch with an Artificial Multimodal Fingertip


Digraph Signal Processing with Generalized Boundary Conditions


Dihedral rings of patterns emerging from a Turing bifurcation


DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC


DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition


Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos


Dilated Continuous Random Field for Semantic Segmentation


Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration


Dilated Convolutional Neural Networks for Sequential Manifold-valued Data


Dilated Convolutions for Modeling Long-Distance Genomic Dependencies


Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation


Dilated convolutional neural network-based deep reference picture generation for video compression


Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture


DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation


Dilation-Erosion for Single-Frame Supervised Temporal Action Localization


Dilations of commuting $C_{0}$-semigroups with bounded generators and the von Neumann polynomial inequality


Dilu: Enabling GPU Resourcing-on-Demand for Serverless DL Serving via Introspective Elasticity


DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine


Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering


Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers


Dimension Reduction Forests: Local Variable Importance using Structured Random Forests


Dimension Reduction for Data with Heterogeneous Missingness


Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder


Dimension Reduction with Locally Adjusted Graphs


Dimension Reduction with Prior Information for Knowledge Discovery


Dimension estimation in PCA model using high-dimensional data augmentation


Dimension formulas for spaces of vector-valued Siegel modular forms of degree two and level two


Dimension improvement in Dhar's refutation of the Eden conjecture


Dimension reduction for integrative survival analysis


Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges


Dimension reduction of dynamical systems on networks with leading and non-leading eigenvectors of adjacency matrices


Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space


Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning


Dimension-free Ergodicity of Path Integral Molecular Dynamics


Dimension-reduced Optimization of Multi-zone Thermostatically Controlled Loads


Dimensional Emotion Detection from Categorical Emotion


Dimensional homogeneity constrained gene expression programming for discovering governing equations


Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting


Dimensionality Reduction Meets Message Passing for Graph Node Embeddings


Dimensionality Reduction Techniques for Statistical Inference in Cosmology


Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach


Dimensionality Reduction for Sum-of-Distances Metric


Dimensionality Reduction of Dynamics on Lie Manifolds via Structure-Aware Canonical Correlation Analysis


Dimensionality Reduction using Similarity-induced Embeddings


Dimensionality of datasets in object detection networks


Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanisms


Dimensionality reduction to maximize prediction generalization capability


Dimensionality reduction, regularization, and generalization in overparameterized regressions


Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis


Dimensionless Numbers Reveal Distinct Regimes in the Structure and Dynamics of Pedestrian Crowds


Dimensionless Policies based on the Buckingham $π$ Theorem: Is This a Good Way to Generalize Numerical Results?


Dimensionless learning based on information


Dimensions of Online Conflict: Towards Modeling Agonism


Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs


Dimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming


Dimmer: Self-Adaptive Network-Wide Flooding with Reinforcement Learning


Dimming Down LED: An Open-source Threshold Implementation on Light Encryption Device (LED) Block Cipher


DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships


Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding


DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space


Dink-Net: Neural Clustering on Large Graphs


DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning


Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection


Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation


Diplomat: A conversational agent framework for goal-oriented group discussion


Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting


Dirac Delta Regression: Conditional Density Estimation with Clinical Trials


Dirac dark matter, neutrino masses, and dark baryogenesis


Dirac neutrino mass generation from Majorana messenger


Dirac neutrinos and $N_{\rm eff}$ II: the freeze-in case


Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions


Dirac: a command-line $γ$-matrix calculator


DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency


DiracNets: Training Very Deep Neural Networks Without Skip-Connections


DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition


DirecT2V: Large Language Models are Frame-Level Directors for Zero-Shot Text-to-Video Generation


Direct Alignment with Heterogeneous Preferences


Direct Amortized Likelihood Ratio Estimation


Direct Behavior Specification via Constrained Reinforcement Learning


Direct Bézier-Based Trajectory Planner for Improved Local Exploration of Unknown Environments


Direct Cardiac Segmentation from Undersampled K-space Using Transformers


Direct Collocation Methods for Trajectory Optimization in Constrained Robotic Systems


Direct Differentiable Augmentation Search


Direct Diffusion Bridge using Data Consistency for Inverse Problems


Direct Encoding of Declare Constraints in ASP


Direct Estimation for Commonly Used Pattern-Mixture Models in Clinical Trials


Direct Estimation of Differences in Causal Graphs


Direct Estimation of Differential Functional Graphical Models


Direct Estimation of Parameters in ODE Models Using WENDy: Weak-form Estimation of Nonlinear Dynamics


Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs


Direct Exoplanet Detection Using L1 Norm Low-Rank Approximation


Direct Expression for One-Loop Tensor Reduction with Lorentz Indices via Generating Function


Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures


Direct Feedback Alignment with Sparse Connections for Local Learning


Direct Fitting of Gaussian Mixture Models


Direct Foundations for Compositional Programming


Direct Imaging of Electron Orbitals with a Scanning Transmission Electron Microscope


Direct Imaging of Irregular Satellite Disks in Scattered Light


Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation


Direct LiDAR Odometry: Fast Localization with Dense Point Clouds


Direct LiDAR-Inertial Odometry: Lightweight LIO with Continuous-Time Motion Correction


Direct May Not Be the Best: An Incremental Evolution View of Pose Generation


Direct Method to Compute Doppler Beaming Factors in Binary Stars


Direct Molecular Conformation Generation


Direct Multi-Turn Preference Optimization for Language Agents


Direct Multi-view Multi-person 3D Pose Estimation


Direct Noisy Speech Modeling for Noisy-to-Noisy Voice Conversion


Direct Output Connection for a High-Rank Language Model


Direct Parameterization of Lipschitz-Bounded Deep Networks


Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding


Direct Preference Optimization with an Offset


Direct Preference-based Policy Optimization without Reward Modeling


Direct Quantized Training of Language Models with Stochastic Rounding


Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies


Direct Robot Configuration Space Construction using Convolutional Encoder-Decoders


Direct Sampling of Confined Polygons in Linear Time


Direct Sequential Simulation for spherical linear inverse problems


Direct Sparse Odometry with Continuous 3D Gaussian Maps for Indoor Environments


Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods


Direct Visual-Inertial Ego-Motion Estimation via Iterated Extended Kalman Filter


Direct and Indirect Hydrogen Storage: Dynamics and Interactions in the Transition to a Renewable Energy Based System for Europe


Direct and Residual Subspace Decomposition of Spatial Room Impulse Responses


Direct cosmological inference from three-dimensional correlations of the Lyman-$α$ forest


Direct covariance matrix estimation with compositional data


Direct deduction of chemical class from NMR spectra


Direct design of biquad filter cascades with deep learning by sampling random polynomials


Direct detection of dark energy: the XENON1T excess and future prospects


Direct detection of pseudo-Nambu-Goldstone dark matter in a two Higgs doublet plus singlet extension of the SM


Direct domain adaptation through reciprocal linear transformations


Direct information transfer rate optimisation for SSVEP-based BCI


Direct limits for scalar field dark matter from a gravitational-wave detector


Direct multimodal few-shot learning of speech and images


Direct multiple shooting and direct collocation perform similarly in biomechanical predictive simulations


Direct numerical simulations of incompressible multiphase electrohydrodynamic flow with single-phase transportation schemes


Direct observational evidence of an oceanic dual kinetic energy cascade and its seasonality


Direct optimisation of the discovery significance when training neural networks to search for new physics in particle colliders


Direct optimization of BPX preconditioners


Direct phase encoding in QAOA: Describing combinatorial optimization problems through binary decision variables


Direct sampling of projected entangled-pair states


Direct search based on probabilistic descent in reduced spaces


Direct searches for general dark matter-electron interactions with graphene detectors: Part I. Electronic structure calculations


Direct shape optimization through deep reinforcement learning


Direct side information learning for zero-shot regression


Direct statistical inference for finite Markov jump processes via the matrix exponential


Direct-Effect Risk Minimization for Domain Generalization


Direct-PoseNet: Absolute Pose Regression with Photometric Consistency


DirectDebug: Automated Testing and Debugging of Feature Models


DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles


DirectMultiStep: Direct Route Generation for Multi-Step Retrosynthesis


DirectProbe: Studying Representations without Classifiers


DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles


Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation


Directed Acyclic Graph Network for Conversational Emotion Recognition


Directed Acyclic Graph Structure Learning from Dynamic Graphs


Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation


Directed Message Passing Based on Attention for Prediction of Molecular Properties