A machine-generated catalogue of Charon's craters and implications for the Kuiper belt


A machine-learned kinetic energy model for light weight metals and compounds of group III-V elements


A machine-learning-based tool for last closed-flux surface reconstruction on tokamaks


A macroscopic pedestrian model with variable maximal density


A map of Digital Humanities research across bibliographic data sources


A marginal moment matching approach for fitting endemic-epidemic models to underreported disease surveillance counts


A massive helium star with a sufficiently strong magnetic field to form a magnetar


A massless interacting Fermionic Cellular Automaton exhibiting bound states


A mathematical model and mesh-free numerical method for contact-line motion in lubrication theory


A mathematical model describing the localization and spread of influenza A virus infection within the human respiratory tract


A mathematical model for universal semantics


A mathematical model of Bacteroides thetaiotaomicron, Methanobrevibacter smithii, and Eubacterium rectale interactions in the human gut


A mathematical model of national-level food system sustainability


A mathematical perspective on Transformers


A mathematical perspective on edge-centric brain functional connectivity


A matheuristic algorithm for the single-source capacitated facility location problem and its variants


A matrix-algebraic algorithm for the Riemannian logarithm on the Stiefel manifold under the canonical metric


A matrix-free isogeometric Galerkin method for Karhunen-Loève approximation of random fields using tensor product splines, tensor contraction and interpolation based quadrature


A matter of attitude: Focusing on positive and active gradients to boost saliency maps


A matter of time: Using dynamics and theory to uncover mechanisms of transcriptional bursting


A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation


A maximum penalised likelihood approach for semiparametric accelerated failure time models with time-varying covariates and partly interval censoring


A maximum-entropy model to predict 3D structural ensembles of chromatins from pairwise distances: Applications to Interphase Chromosomes and Structural Variants


A mean teacher algorithm for unlearning of language models


A mean-field game model of electricity market dynamics


A measurement of the Hubble constant from angular diameter distances to two gravitational lenses


A measurement of the Lyman-beta forest power spectrum and its cross with the Lyman-alpha forest in X-Shooter XQ-100


A mechanism for growth of topological entropy and global changes of the shape of chaotic attractors


A mechanistic model to assess the effectiveness of test-trace-isolate-and-quarantine under limited capacities


A mechanistic-statistical species distribution model to explain and forecast wolf (Canis lupus) colonization in South-Eastern France


A mechanistically interpretable neural network for regulatory genomics


A memristive deep belief neural network based on silicon synapses


A meta-analysis of Boolean network models reveals design principles of gene regulatory networks


A meta-inference framework to integrate multiple external models into a current study


A method and tool for combining differential or inclusive measurements obtained with simultaneously constrained uncertainties


A method for approximating optimal statistical significances with machine-learned likelihoods


A method for identifying causality in the response of nonlinear dynamical systems


A method of immersed layers on Cartesian grids, with application to incompressible flows


A method to benchmark high-dimensional process drift detection


A method to challenge symmetries in data with self-supervised learning


A method to computationally screen for tunable properties of crystalline alloys


A method to integrate and classify normal distributions


A method to segment maps from different modalities using free space layout -- MAORIS : MAp Of RIpples Segmentation


A methodology for detection and localization of fruits in apples orchards from aerial images


A methodology to characterize bias and harmful stereotypes in natural language processing in Latin America


A metric for evaluating 3D reconstruction and mapping performance with no ground truthing


A metric on directed graphs and Markov chains based on hitting probabilities


A microstructure estimation Transformer inspired by sparse representation for diffusion MRI


A minimal Tersoff potential for diamond silicon with improved descriptions of elastic and phonon transport properties


A minimal and non-alternative realisation of the Cayley plane


A minimal model for microbial biodiversity can reproduce experimentally observed ecological patterns


A minimal model for synaptic integration in simple neurons


A minimal model of cognition based on oscillatory and current-based reinforcement processes


A minimalist model for co-evolving supply and drainage networks


A minimalistic and general weighted averaging method for inconsistent data


A minimax optimal approach to high-dimensional double sparse linear regression


A mixed effects cosinor modelling framework for circadian gene expression


A mixed finite element discretization of dynamical optimal transport


A mixed policy to improve performance of language models on math problems


A mixed-integer program for circuit execution time minimization with precedence constraints


A mixture model for determining SARS-Cov-2 variant composition in pooled samples


A mobility-SAV approach for a Cahn-Hilliard equation with degenerate mobilities


A model for COVID-19 and bacterial pneumonia coinfection with community- and hospital-acquired infections


A model for COVID-19 with isolation, quarantine and testing as control measures


A model for contractile stress fibers embedded in bulk actomyosin networks


A model for galaxy-galaxy strong lensing statistics in surveys


A model for pricing freight rail transport access costs: economic and environmental perspectives


A model of communication-enabled traffic interactions


A model of infant speech perception and learning


A model of phase-coupled delay equations for the dynamics of word usage


A model predictive control (MPC)-integrated multiphase immersed boundary (IB) framework for simulating wave energy converters (WECs)


A model-based approach to assess epidemic risk


A model-based assessment of social isolation practices for COVID-19 outbreak response in residential care facilities


A model-based framework for learning transparent swarm behaviors


A model-free approach for solving choice-based competitive facility location problems using simulation and submodularity


A model-guided deep network for limited-angle computed tomography


A model-independent reconstruction of the matter power spectrum


A modeler's guide to extreme value software


A modeling approach for estimating dynamic measles case detection rates


A modelling framework for detecting and leveraging node-level information in Bayesian network inference


A modelling framework for the analysis of the SARS-CoV2 transmission dynamics


A modest proposal: explicit support for foundational pluralism


A modified AAA algorithm for learning stable reduced-order models from data


A modified Hegselmann-Krause model for interacting voters and political parties


A modified Kwee - van Woerden method for eclipse minimum timing with reliable error estimates


A modified Newmark/Newton-Raphson method with automatic differentiation for general nonlinear dynamics analysis


A modified Ricci flow on arbitrary weighted graph


A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images


A modified maximum contrast method for unequal sample sizes in pharmacogenomic studies


A modular U-Net for automated segmentation of X-ray tomography images in composite materials


A modular and extensible library for parameterized terrain generation


A modular implementation of an effective interaction approach for harmonically trapped fermions in 1D


A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment


A moment-matching metric for latent variable generative models


A monitoring and diagnostic approach for stochastic textured surfaces


A monolithic Finite Element formulation for the hydroelastic analysis of Very Large Floating Structures


A more direct and better variant of New Q-Newton's method Backtracking for m equations in m variables


A multi-agentic framework for real-time, autonomous freeform metasurface design


A multi-arm multi-stage platform design that allows pre-planned addition of arms while still controlling the family-wise error


A multi-band AGN-SFG classifier for extragalactic radio surveys using machine learning


A multi-component phase-field model for T1 precipitates in Al-Cu-Li alloys


A multi-contrast MRI approach to thalamus segmentation


A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers


A multi-dimensional view of a unified model for TDEs


A multi-factor market-neutral investment strategy for New York Stock Exchange equities


A multi-fragment real-time extension of projected density matrix embedding theory: Non-equilibrium electron dynamics in extended systems


A multi-functional simulation platform for on-demand ride service operations


A multi-kiloGauss magnetic field driving the magnetospheric accretion process in EX Lupi


A multi-language toolkit for the semi-automated checking of research outputs


A multi-level analysis of data quality for formal software citation


A multi-messenger model for neutron star - black hole mergers


A multi-scale lithium-ion battery capacity prediction using mixture of experts and patch-based MLP


A multi-schematic classifier-independent oversampling approach for imbalanced datasets


A multi-sensor human gait dataset captured through an optical system and inertial measurement units


A multi-sided generalization of the $C^0$ Coons patch


A multi-task semi-supervised framework for Text2Graph & Graph2Text


A multiconfigurational pair-density functional theory approach to molecular junctions


A multifidelity approach to continual learning for physical systems


A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude


A multilayer, multi-timescale model approach for economic and frequency control in power grids


A multilevel model with heterogeneous variances for snap timing in the National Football League


A multilinear HJB-POD method for the optimal control of PDEs


A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format


A multimodal dynamical variational autoencoder for audiovisual speech representation learning


A multimodal movie review corpus for fine-grained opinion mining


A multimode quasi-normal spectrum from a perturbed black hole


A multiobjective continuation method to compute the regularization path of deep neural networks


A multiple imputation approach to distinguish curative from life-prolonging effects in the presence of missing covariates


A multiple-circuit approach to quantum resource reduction with application to the quantum lattice Boltzmann method


A multipoint perturbation formula for eigenvalue problems


A multiscale approach to the stationary Ginzburg-Landau equations of superconductivity


A multiscale thermodynamic generalization of Maxwell-Stefan diffusion equations and of the dusty gas model


A multishock scenario for the formation of radio relics


A multistate approach to disability insurance reserving with information delays


A multitracer analysis for the eBOSS galaxy sample based on the effective field theory of large-scale structure


A multivariate adaptation of direct kernel estimator of density ratio


A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference


A naive method to discover directions in the StyleGAN2 latent space


A nearly Blackwell-optimal policy gradient method


A nearly linearly convergent first-order method for nonsmooth functions with quadratic growth


A necessary condition for non oscillatory and positivity preserving time-integration schemes


A nested expectation-maximization algorithm for latent class models with covariates


A nested sampling code for targeted searches for continuous gravitational waves from pulsars


A network-driven framework for enhancing gene-disease association studies in coronary artery disease


A neural field model for color perception unifying assimilation and contrast


A neural network approach to determining photometric metallicities of M-type dwarf stars


A neural network approach to high-dimensional optimal switching problems with jumps in energy markets


A neural network approach to learning solutions of a class of elliptic variational inequalities


A neural network model for timing control with reinforcement


A neural network oracle for quantum nonlocality problems in networks


A neural operator-based surrogate solver for free-form electromagnetic inverse design


A neural-network-based Python package for performing large-scale atomic CI using pCI and other high-performance atomic codes


A neurally plausible model learns successor representations in partially observable environments


A new Directional Algebraic Fast Multipole Method based iterative solver for the Lippmann-Schwinger equation accelerated with HODLR preconditioner


A new INARMA(1, 1) model with Poisson marginals


A new Linear Time Bi-level $\ell_{1,\infty}$ projection ; Application to the sparsification of auto-encoders neural networks


A new adaptive local polynomial density estimation procedure on complicated domains


A new algorithm for p-adic continued fractions


A new analysis of empirical interpolation methods and Chebyshev greedy algorithms


A new approach and code for spinning black holes in modified gravity


A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks


A new approach to color-coherent parton evolution


A new approach to constraining properties of AGN host galaxies by combining image and SED decomposition: testing upon the MBH-M* relation


A new approach to locally adaptive polynomial regression


A new approach to shooting methods for terminal value problems of fractional differential equations


A new automated tool for the spectral classification of OB stars


A new automatic approach to seed image analysis: From acquisition to segmentation


A new baseline for edge detection: Make Encoder-Decoder great again


A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers


A new basis for filament simulation in three dimensions


A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?


A new catalog of magnetically active solar-like oscillators


A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs


A new class of composite GBII regression models with varying threshold for modelling heavy-tailed data


A new class of copula regression models for modelling multivariate heavy-tailed data


A new class of high-order methods for multirate differential equations


A new class of nonparametric tests for second-order stochastic dominance based on the Lorenz P-P plot


A new class of tests for convex-ordered families based on expected order statistics


A new coinductive confluence proof for infinitary lambda calculus


A new complex variable solution on noncircular shallow tunnelling with reasonable far-field displacement


A new computational framework for log-concave density estimation


A new concordance homomorphism from Khovanov homology


A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics


A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts


A new evaluation framework for topic modeling algorithms based on synthetic corpora


A new evaluation of the $HZZ$ coupling: direct bounds on anomalous contributions and $CP$ violating effects via a new asymmetry


A new event generator for the elastic scattering of charged leptons on protons


A new face swap method for image and video domains: a technical report


A new family of fourth-order energy-preserving integrators


A new family of triangulations of $\mathbb{R}P^d$


A new formulation for coupled magma/mantle dynamics


A new goodness-of-fit statistic and its application to 21-cm cosmology


A new hierarchical distribution on arbitrary sparse precision matrices


A new hope for network model generalization


A new implementation of the geometric method for solving the Eady slice equations


A new independent look at the galactic black hole low-mass X-ray binary distribution


A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons


A new mathematical model for dispersion of Rayleigh wave and a machine learning based inversion solver


A new method for faster and more accurate inference of species associations from big community data


A new method for obtaining a Born cross section using visible cross section data from $e^+e^-$ colliders


A new method for protein structure reconstruction from NOESY distances


A new method for spatially resolving the turbulence driving mixture in the ISM with application to the Small Magellanic Cloud


A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification


A new moment-independent uncertainty importance measure based on cumulative residual entropy for developing uncertainty reduction strategies


A new multivariate and non-parametric association measure based on paired orthants


A new non-parametric method to infer galaxy cluster masses from weak lensing


A new perspective on building efficient and expressive 3D equivariant graph neural networks


A new perspective on low-rank optimization


A new primal-dual algorithm for minimizing the sum of three functions with a linear operator


A new rational approximation algorithm via the empirical interpolation method


A new sample-based algorithms to compute the total sensitivity index


A new self-exciting jump-diffusion process for option pricing


A new set of efficient SMP-parallel 2D Fourier subroutines


A new solution to the curved Ewald sphere problem for 3D image reconstruction in electron microscopy


A new test for assessing the covariate effect in ROC curves


A new tidy data structure to support exploration and modeling of temporal data


A new timestep criterion for N-body simulations


A new training approach for text classification in Mental Health: LatentGLoss


A new variational model for shape graph registration with partial matching constraints


A newcomer's guide to deep learning for inverse design in nano-photonics


A no-phone/no-app contact tracing hardware token


A noisy-input generalised additive model for relative sea-level change along the Atlantic coast of North America


A non-alternating graph hashing algorithm for large scale image search


A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models


A non-asymptotic error analysis for parallel Monte Carlo estimation from many short Markov chains


A non-axisymmetric potential for the Milky Way disk


A non-conforming dual approach for adaptive Trust-Region Reduced Basis approximation of PDE-constrained optimization


A non-parametric Bayesian approach for adjusting partial compliance in sequential decision making


A non-parametric proportional risk model to assess a treatment effect in time-to-event data


A non-projective greedy dependency parser with bidirectional LSTMs


A nonconvex optimization approach to IMRT planning with dose-volume constraints


A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation


A nonlinear spectral core-periphery detection method for multiplex networks


A nonlinear subgrid-scale model for large-eddy simulations of rotating turbulent flows


A nonlinearity and model specification test for functional time series


A nonparametric framework for inferring orders of categorical data from category-real ordered pairs


A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series


A nonsmooth primal-dual method with interwoven PDE constraint solver


A note about high-order semi-implicit differentiation: application to a numerical integration scheme with Taylor-based compensated error


A note on $\bar{X}$-coloring and $\hat{A}$-coloring 4-regular graphs


A note on an inversion algorithm for vertical ionograms for the prediction of plasma frequency profiles


A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives


A note on confidence intervals for parameter estimates of a spatio-temporal Ornstein-Uhlenbeck process


A note on efficient audit sample selection


A note on estimating global subgraph counts by sampling


A note on hyperparameters in black-box adversarial examples


A note on improving the search of optimal prices in envy-free perfect matchings


A note on joint calibration estimators for totals and quantiles


A note on sampling biases in the Bangladesh mask trial


A note on the inner products of pure states and their antidistinguishability


A note on the properties of the confidence set for the local average treatment effect obtained by inverting the score test


A note on the rate of convergence of integration schemes for closed surfaces


A novel CFA+EFA model to detect aberrant respondents


A novel Deep Learning approach for one-step Conformal Prediction approximation


A novel Fourier Adjacency Transformer for advanced EEG emotion recognition


A novel Fourier neural operator framework for classification of multi-sized images: Application to three dimensional digital porous media


A novel Region of Interest Extraction Layer for Instance Segmentation


A novel Three-step Network-based Ecosystem Modelling Framework


A novel algebraic approach to time-reversible evolutionary models


A novel analytic atmospheric $T(τ)$ relation for stellar models


A novel approach for Fair Principal Component Analysis based on eigendecomposition


A novel approach for venue recommendation using cross-domain techniques


A novel approach to detect line emission under high background in high-resolution X-ray spectra


A novel approach to graph distinction through GENEOs and permutants


A novel approach to noisy gates for simulating quantum computers


A novel approach to radially global gyrokinetic simulation using the flux-tube code $\texttt{stella}$


A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groups


A novel association and ranking approach identifies factors affecting educational outcomes of STEM majors


A novel audio representation using space filling curves


A novel convergence enhancement method based on Online Dimension Reduction Optimization


A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch


A novel dual-decomposition method for non-convex two-stage stochastic mixed-integer quadratically constrained quadratic problems


A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification


A novel embedded min-max approach for feature selection in nonlinear support vector machine classification


A novel evaluation methodology for supervised Feature Ranking algorithms


A novel family of beta mixture models for the differential analysis of DNA methylation data: an application to prostate cancer


A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy


A novel framework for semi-Bayesian radial velocities through template matching


A novel gradient-based method for decision trees optimizing arbitrary differential loss functions


A novel hybrid and publicly available model for spur gear vibrations based on an efficient dynamic model


A novel hybrid methodology of measuring sentence similarity


A novel inversion algorithm for weak gravitational lensing using quasi-conformal geometry


A novel longitudinal rank-sum test for multiple primary endpoints in clinical trials: Applications to neurodegenerative disorders


A novel method for calculating Bose-Einstein correlation functions with Coulomb final-state interaction


A novel method in solving seepage problems implementation in Abaqus based on the polygonal scaled boundary finite element method


A novel metric for assessing climatological surface habitability


A novel metric for detecting quadrotor loss-of-control


A novel multi-stage concurrent topology optimization for variable-stiffness structures


A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation


A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition


A novel stacked hybrid autoencoder for imputing LISA data gaps


A novel tree-structured point cloud dataset for skeletonization algorithm evaluation


A novel use of time separation technique to improve flat detector CT perfusion imaging in stroke patients


A null test of the Cosmological Principle with BAO measurements


A numerical Fourier cosine expansion method with higher order Taylor schemes for fully coupled FBSDEs


A numerical algorithm for computing the zeros of parabolic cylinder functions in the complex plane


A numerical algorithm for solving the coupled Schrödinger equations using inverse power method


A numerical framework for computing steady states of size-structured population models and their stability


A numerical framework for elastic surface matching, comparison, and interpolation


A numerical study of long-term multi-wavelength blazar variability


A numerical study of the zeros of the grand partition function of $k$-mers on strips of width $k$


A numerically stable algorithm for integrating Bayesian models using Markov melding


A pandemic-resilient open-inquiry physical science lab course which leverages the Maker movement


A parallel algorithm for solving linear parabolic evolution equations


A parallel batch greedy algorithm in reduced basis methods: Convergence rates and numerical results


A parallel preconditioner for the all-at-once linear system from evolutionary PDEs with Crank-Nicolson discretization


A parallel rank-adaptive integrator for dynamical low-rank approximation


A parallel-in-time method based on the Parareal algorithm and High-Order Dynamic Mode Decomposition with applications to fluid simulations


A parameter-free graph reduction for spectral clustering and SpectralNet


A parameter-free statistical model for two-dimensional carbon nanostructures


A parametric approach to the estimation of convex risk functionals based on Wasserstein distance


A parametric distribution for exact post-selection inference with data carving


A parametric framework for kernel-based dynamic mode decomposition using deep learning


A parametric level-set method for partially discrete tomography


A parametric model for wind turbine power curves incorporating environmental conditions


A parametricity-based formalization of semi-simplicial and semi-cubical sets


A parsec-scale Galactic 3D dust map out to 1.25 kpc from the Sun


A partial knowledge of friends of friends speeds social search


A partial-state space model of unawareness


A partial-sum deformation for a family of orthogonal polynomials


A partition cover approach to tokenization


A path integral method for solution of the wave equation with continuously-varying coefficients


A path-dependent PDE solver based on signature kernels


A path-norm toolkit for modern networks: consequences, promises and challenges


A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design


A penalised piecewise-linear model for non-stationary extreme value analysis of peaks over threshold


A penalized Allen-Cahn equation for the mean curvature flow of thin structures


A penalty method for PDE-constrained optimization in inverse problems


A pencil-distributed finite-difference solver for extreme-scale calculations of turbulent wall flows at high Reynolds number


A percent-level determination of the nucleon axial coupling from Quantum Chromodynamics


A perception centred self-driving system without HD Maps


A performance characterization of quantum generative models


A performance portable implementation of the semi-Lagrangian algorithm in six dimensions


A performance portable, fully implicit Landau collision operator with batched linear solvers


A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification


A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR


A persistent-homology-based turbulence index & some applications of TDA on financial markets


A pessimist's approach to one-sided matching


A phase field model for cohesive fracture in micropolar continua


A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks


A phase-field model for thermo-mechanical fracture with an open-source implementation of it using Gridap in Julia


A phenomenological model for measuring generalised Faraday rotation


A phonon irreducible representations calculator


A phylogenetic scan test on Dirichlet-tree multinomial model for microbiome data


A physical model for efficient ranking in networks


A physical model of the galactic large-scale magnetic field


A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime


A physics-informed operator regression framework for extracting data-driven continuum models


A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems


A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies


A picture guide to cancer progression and monotonic accumulation models: evolutionary assumptions, plausible interpretations, and alternative uses


A piece-wise constant approximation for non-conjugate Gaussian Process models


A pilot search for MeV gamma-ray emission from five galaxy clusters using archival COMPTEL data


A pipeline and comparative study of 12 machine learning models for text classification


A pipeline for searching and fitting instrumental glitches in LISA data


A planetary collision afterglow and transit of the resultant debris cloud


A platform for cognitive monitoring of neurosurgical patients during hospitalization


A plethora of long-range neutrino interactions probed by DUNE and T2HK


A point cloud approach to generative modeling for galaxy surveys at the field level


A policy gradient approach for Finite Horizon Constrained Markov Decision Processes


A polynomial regression model for excess mortality in Mexico 2020-2022 due to the COVID-19 pandemic


A polynomial time and space heuristic algorithm for T-count


A polynomial-time algorithm for learning nonparametric causal graphs


A polytopal method for the Brinkman problem robust in all regimes


A port-Hamiltonian approach to modeling the structural dynamics of complex systems


A portfolio-based analysis method for competition results


A positive feedback method based on F-measure value for Salient Object Detection


A positivity-preserving numerical method for a thin liquid film on a vertical cylindrical fiber


A post-selection algorithm for improving dynamic ensemble selection methods


A posteriori certification for physics-informed neural networks


A posteriori error estimates for the Richards equation


A posteriori error estimation for the non-self-consistent Kohn-Sham equations


A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps


A posteriori validation of generalized polynomial chaos expansions


A potassium ion channel simulated with a universal neural network potential


A potential magnetic field calculator for solar physics applications using staggered grids


A powerful test for differentially expressed gene pathways via graph-informed structural equation modeling


A practical PINN framework for multi-scale problems with multi-magnitude loss terms


A practical Response Adaptive Block Randomization (RABR) design with analytic type I error protection


A practical algorithm for 2-admissibility


A practical algorithm to calculate Cap Discrepancy


A practical approach to evaluating the adversarial distance for machine learning classifiers


A practical example for the non-linear Bayesian filtering of model parameters


A practical guide to pseudo-marginal methods for computational inference in systems biology


A practical tutorial on Variational Bayes


A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines


A practical, effective calculation of gamma difference distributions with open data science tools


A practically efficient fixed-pivot selection algorithm and its extensible MATLAB suite


A pragmatic account of the weak evidence effect


A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients


A precise asymptotic analysis of learning diffusion models: theory and insights


A preconditioned inverse iteration with an improved convergence guarantee


A preconditioning technique of Gauss--Legendre quadrature for the logarithm of symmetric positive definite matrices


A prediction and behavioural analysis of machine learning methods for modelling travel mode choice


A predictive analytics approach for stroke prediction using machine learning and neural networks


A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy


A preplanned multi-stage platform trial for discovering multiple superior treatments with control of FWER and power


A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms


A prescription for the asteroseismic surface correction


A primal-dual perspective for distributed TD-learning


A primal-dual price-optimization method for computing equilibrium prices in mean-field games models


A primer on correlation-based dimension reduction methods for multi-omics analysis


A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo


A primer to numerical simulations: The perihelion motion of Mercury


A principled approach for generating adversarial images under non-smooth dissimilarity metrics


A principled approach to model validation in domain generalization


A principled framework to assess the information-theoretic fitness of brain functional sub-circuits


A principled stopping rule for importance sampling


A priori error analysis of linear and nonlinear periodic Schr{ö}dinger equations with analytic potentials


A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection


A probabilistic database approach to autoencoder-based data cleaning


A probabilistic estimation of remaining useful life from censored time-to-event data


A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation


A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables


A probabilistic model for the numerical solution of initial value problems


A probabilistic model of ocean floats under ice


A probabilistic tree model to analyze fuzzy rating data


A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty


A probability theoretic approach to drifting data in continuous time domains


A production planning benchmark for real-world refinery-petrochemical complexes


A projected nonlinear state-space model for forecasting time series signals


A projection method for particle resampling


A proof system for graph (non)-isomorphism verification


A proof-of-concept neural network for inferring parameters of a black hole from partial interferometric images of its shadow


A proposal for a minimal surface code experiment


A protrusive ordering of 5 points not witnessed by any finite multiset


A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness


A provably quasi-polynomial algorithm for the discrete logarithm problem in finite fields of small characteristic


A provably stable numerical method for the anisotropic diffusion equation in confined magnetic fields


A pruning method based on the dissimilarity of angle among channels and filters


A public HARPS radial velocity database corrected for systematic errors


A public transit network optimization model for equitable access to social services


A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics


A python package for ultrashort optical pulse propagation in terms of forward models for the analytic signal


A quadratic estimator view of the transfer function correction in intensity mapping surveys


A quantitative study of NLP approaches to question difficulty estimation


A quantum Monte Carlo based approach to intranuclear cascades


A quantum Otto engine with finite heat baths: energy, correlations, and degradation


A quantum algorithm for gravitational wave matched filtering


A quantum algorithm for track reconstruction in the LHCb vertex detector


A quantum algorithm for training wide and deep classical neural networks


A quantum analog of Huygen's clock: noise-induced synchronization


A quantum compiler design method by using linear combinations of permutations


A quantum computing concept for 1-D elastic wave simulation with exponential speedup


A quantum eigenvalue solver based on tensor networks


A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation


A quantum parallel Markov chain Monte Carlo


A quantum register using collective excitations in a Bose-Einstein condensate


A quantum semantic framework for natural language processing


A quantum-classical cloud platform optimized for variational hybrid algorithms


A quantum-classical performance separation in nonconvex optimization


A quantum-classical reinforcement learning model to play Atari games


A quest for 5-point condition a la Alexandrov


A queueing-based approach for integrated routing and appointment scheduling


A radio-jet driven outflow in the Seyfert 2 galaxy NGC 2110?


A random shuffle method to expand a narrow dataset and overcome the associated challenges in a clinical study: a heart failure cohort example


A random-key GRASP for combinatorial optimization


A randomized small-block Lanczos method for large-scale null space computations


A rank decomposition for the topological classification of neural representations


A real-time Automated Glitch Detection Pipeline at Ooty Radio Telescope


A real-time and unsupervised face Re-Identification system for Human-Robot Interaction


A real-time anomaly detection method for robots based on a flexible and sparse latent space


A real-time blind quality-of-experience assessment metric for HTTP adaptive streaming


A realistic approach to generate masked faces applied on two novel masked face recognition data sets


A reanalysis of the latest SH0ES data for $H_0$: Effects of new degrees of freedom on the Hubble tension


A recommender system for automatic picking of subsurface formation tops


A recurrent CNN for online object detection on raw radar frames


A recurrent neural network for classification of unevenly sampled variable stars


A recursive skeletonization factorization based on strong admissibility


A recursively partitioned approach to architecture-aware ZX Polynomial synthesis and optimization


A reduced conjugate gradient basis method for fractional diffusion


A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks


A reduced-rank approach to predicting multiple binary responses through machine learning


A reference-searching-based algorithm for large-scale data envelopment analysis computation


A reflective, metal-rich atmosphere for GJ 1214b from its JWST phase curve


A refractory density approach to a multi-scale SEIRS epidemic model


A registration error estimation framework for correlative imaging


A registration method for reduced basis problems using linear optimal transport


A regularized deep matrix factorized model of matrix completion for image restoration


A reinforcement learning approach to rare trajectory sampling


A reinforcement learning guided hybrid evolutionary algorithm for the latency location routing problem


A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles


A relaxation approach to UBPPs based on equivalent DC penalized factorized matrix programs


A reliability measure for smart surveillance systems


A representation-independent electronic charge density database for crystalline materials


A reproducible approach to merging behavior analysis based on High Definition Map


A reproducible effect size is more useful than an irreproducible hypothesis test to analyze high throughput sequencing datasets


A reproducible pipeline for extracting representative signals from wire cuts


A reproduction of Apple's bi-directional LSTM models for language identification in short strings


A request for clarity over the End of Sequence token in the Self-Critical Sequence Training


A research framework for writing differentiable PDE discretizations in JAX


A resonant pair of warm giant planets revealed by TESS


A resource-efficient variational quantum algorithm for mRNA codon optimization


A resource-frugal probabilistic dictionary and applications in bioinformatics


A response-matrix-centred approach to presenting cross-section measurements


A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks


A reversible system based on hybrid toggle radius-4 cellular automata and its application as a block cipher


A review of Bayesian perspectives on sample size derivation for confirmatory trials


A review of action estimation methods for galactic dynamics


A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation


A review on Deep Reinforcement Learning for Fluid Mechanics


A review on competing risks methods for survival analysis


A revisited branch-and-cut algorithm for large-scale orienteering problems


A rich population of free-floating planets in the Upper Scorpius young stellar association


A rigorous integrator and global existence for higher-dimensional semilinear parabolic PDEs via semigroup theory


A ripple in time: a discontinuity in American history


A roadmap for systematic identification and analysis of multiple biases in causal inference


A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis


A robust Bayesian latent position approach for community detection in networks with continuous attributes


A robust and efficient line search for self-consistent field iterations


A robust and simple method for filling in masked data in astronomical images


A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training


A robust approach for generalized linear models based on maximum Lq-likelihood procedure


A robust approach to quantifying uncertainty in matching problems of causal inference


A robust baro-radar-inertial odometry m-estimator for multicopter navigation in cities and forests


A robust contaminated discrete Weibull regression model for outlier-prone count data


A robust estimator of mutual information for deep learning interpretability


A robust measure of skewness using cumulative statistic calculation


A robust method based on LOVO functions for solving least squares problems


A robust monolithic solver for phase-field fracture integrated with fracture energy based arc-length method and under-relaxation


A robust nonlinear mixed-effects model for COVID-19 deaths data


A robust scalar-on-function logistic regression for classification


A robust shifted proper orthogonal decomposition: Proximal methods for decomposing flows with multiple transports


A robust, discrete-gradient descent procedure for optimisation with time-dependent PDE and norm constraints


A rodent paradigm for studying perceptual decisions under asymmetric reward


A rolling horizon heuristic approach for a multi-stage stochastic waste collection problem


A rotation-equivariant convolutional neural network model of primary visual cortex


A rule-free workflow for the automated generation of databases from scientific literature


A saddle-point finder and its application to the spin foam model


A safety factor approach to designing urban infrastructure for dynamic conditions


A safety realignment framework via subspace-oriented model fusion for large language models


A sampling criterion for constrained Bayesian optimization with uncertainties


A sampling framework for counting temporal motifs


A sampling-based approach for efficient clustering in large datasets


A scala library for spatial sensitivity analysis


A scalable clustering algorithm to approximate graph cuts


A scalable computational platform for particulate Stokes suspensions


A scalable gene network model of regulatory dynamics in single cells


A scalable hierarchical lasso for gene-environment interactions


A scalable quantum gate-based implementation for causal hypothesis testing


A scalable saliency-based Feature selection method with instance level information


A scalable scanning transfer cavity laser stabilization scheme based on the Red Pitaya STEMlab platform


A scalable transient detection pipeline for the Australian SKA Pathfinder VAST survey


A scheme for simulating multi-level phase change photonics materials


A search for short-period Tausworthe generators over $\mathbb{F}_b$ with application to Markov chain quasi-Monte Carlo


A search for thermal gyro-synchrotron emission from hot stellar coronae


A search for transit timing variations within the exomoon corridor using Kepler data


A search for transiting companions in the J1407 (V1400 Cen) system


A search for transits among the δ Scuti variables in Kepler


A second order directional split exponential integrator for systems of advection--diffusion--reaction equations


A second-order exponential time differencing scheme for non-linear reaction-diffusion systems with dimensional splitting


A second-order-like optimizer with adaptive gradient scaling for deep learning


A segmental framework for fully-unsupervised large-vocabulary speech recognition


A selection function toolbox for subsets of astronomical catalogues


A self-regulated convolutional neural network for classifying variable stars


A self-supervised CNN for image watermark removal


A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections


A semantic embedding space based on large language models for modelling human beliefs


A semantically enhanced dual encoder for aspect sentiment triplet extraction


A semi-analytic model of pairwise velocity distribution between dark matter halos


A semi-analytic study of self-interacting dark-matter haloes with baryons


A semi-autonomous approach to connecting proprietary EHR standards to FHIR


A semi-conjugate gradient method for solving unsymmetric positive definite linear systems


A semi-continuous model for transmission of SARS-CoV-2 and other respiratory viruses in enclosed spaces via multiple pathways to assess risk of infection and mitigation strategies


A semi-model-independent approach to describe a cosmological database


A semi-supervised Teacher-Student framework for surgical tool detection and localization


A semi-supervised framework for diverse multiple hypothesis testing scenarios


A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels


A semi-supervised sparse K-Means algorithm


A semidefinite programming approach for robust elliptic localization


A sensitivity analysis of the PAWN sensitivity index


A sensitivity curve approach to tuning a pulsar timing array in the detection era


A sensitivity study of VBS and diboson WW to dimension-6 EFT operators at the LHC


A sensor-to-pattern calibration framework for multi-modal industrial collaborative cells


A sequence of quasipolynomials arising from random numerical semigroups


A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the Covid-19 case


A set of semantic data flow diagrams and its security analysis based on ontologies and knowledge graphs


A seven-planet resonant chain in TRAPPIST-1


A shallow neural model for relation prediction


A shape-based heuristic for the detection of urban block artifacts in street networks


A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates


A shared neural encoding model for the prediction of subject-specific fMRI response


A sharp nonlinear Hausdorff-Young inequality for small potentials


A sharp oracle inequality for Graph-Slope


A shell model of eye growth and elasticity


A short trajectory is all you need: A transformer-based model for long-time dissipative quantum dynamics


A signature of quantumness in pure decoherence control


A simple accurate way to model noise-seeded ultrafast nonlinear processes


A simple and broadly-applicable definition of shear transformation zones


A simple and effective hybrid genetic search for the job sequencing and tool switching problem


A simple and fast C++ thread pool implementation capable of running task graphs


A simple and practical adaptive trust-region method


A simple bipartite graph projection model for clustering in networks


A simple denoising approach to exploit multi-fidelity data for machine learning materials properties


A simple emulator that enables interpretation of parameter-output relationships, applied to two climate model PPEs


A simple linear time algorithm for smallest enclosing circles on the (hemi)sphere


A simple method for decision making in robocup soccer simulation 3d environment


A simple model to investigate jet quenching and correlated errors for centrality-dependent nuclear-modification factors in relativistic heavy-ion collisions


A simple model to study phylogeographies and speciation patterns in space


A simple optimisation for the MeerKAT Pulsar Timing Array


A simple prediction of the nonlinear matter power spectrum in Brans-Dicke gravity from linear theory


A simple protocol to automate the executing, scaling, and reconfiguration of Cloud-Native Apps


A simple quantum algorithm to efficiently prepare sparse states


A simple recipe to create three-dimensional reciprocal space maps


A simple thinking about the application of the attention mechanism in medical ultrasound image segmentation task


A simple uniformly optimal method without line search for convex optimization


A simple vision-based navigation and control strategy for autonomous drone racing


A simple way to make neural networks robust against diverse image corruptions


A simple yet effective baseline for non-attributed graph classification


A simple, accurate model for detachment access


A simple, fully-discrete, unconditionally energy-stable method for the two-phase Navier-Stokes Cahn-Hilliard model with arbitrary density ratios


A simple, randomized algorithm for diagonalizing normal matrices


A simple, strong baseline for building damage detection on the xBD dataset


A simpler spectral approach for clustering in directed networks


A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models


A simulated annealing approach to parameter inference with expensive likelihoods


A simulated annealing approach to the student-project allocation problem


A simulation and case study to evaluate the extrapolation performance of flexible Bayesian survival models when incorporating real-world data


A simulation framework for particle magnetization dynamics of large ensembles of single domain particles: Numerical treatment of Brown/Néel dynamics and parameter identification problems in magnetic particle imaging


A simulation framework of procurement operations in the container logistics industry


A simulation modeling framework for fluid motion and transport in a rocking bioreactor with application to cultivated meat production


A simulation study to compare 210Pb dating data analyses


A simulation suite for readout with SMuRF tone-tracking electronics


A simulation-heuristics dual-process model for intuitive physics


A simulink circuit model for measurement of consumption of electric energy using frequency method


A single risk approach to the semiparametric copula competing risks model


A single-cell gene expression language model


A single-domain approach for modeling flow in and around porous media applied to buoyant reacting plume formation and ignition


A single-shot measurement of time-dependent diffusion over sub-millisecond timescales using static field gradient NMR


A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on $n$-dimensional Classes


A singular Riemannian geometry approach to Deep Neural Networks II. Reconstruction of 1-D equivalence classes


A skeletonization algorithm for gradient-based optimization


A slice tour for finding hollowness in high-dimensional data


A sliced Wasserstein and diffusion approach to random coefficient models


A slim disc approach to external photoevaporation of discs


A slow-down time-transformed symplectic integrator for solving the few-body problem


A smack of all neighbouring languages: How multilingual is scholarly communication?


A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processing


A smoothed particle hydrodynamics algorithm for multigrain dust with separate sets of particles


A smoothing proximal gradient algorithm for matrix rank minimization problem


A solution approach for the anonymous sharing of sensitive supply chain traceability data


A solution for the mean parametrization of the von Mises-Fisher distribution


A solution method for arbitrary polyhedral convex set optimization problems


A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation


A source separation approach to temporal graph modelling for computer networks


A space of goals: the cognitive geometry of informationally bounded agents


A space-time continuous and coercive formulation for the wave equation


A sparse $hp$-finite element method for piecewise-smooth differential equations with periodic boundary conditions


A sparse hierarchical $hp$-finite element method on disks and annuli


A sparse negative binomial mixture model for clustering RNA-seq count data


A sparse resultant based method for efficient minimal solvers


A sparse spectral method for fractional differential equations in one-spatial dimension


A sparsity augmented probabilistic collaborative representation based classification method


A spatial hue similarity measure for assessment of colourisation


A spatial variance-smoothing area level model for small area estimation of demographic rates


A spatially varying change points model for monitoring glaucoma progression using visual field data


A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales


A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA


A spectral algorithm for fast de novo layout of uncorrected long nanopore reads


A spectral algorithm for finding maximum cliques in dense random intersection graphs


A spectral boundary integral method for simulating electrohydrodynamic flows in viscous drops


A spectral collocation method for functional and delay differential equations


A spectral element method for meshes with skinny elements


A spectral interpolation scheme on the unit sphere based on the nodes of spherical Lissajous curves


A spectral synthesis code for rapid modelling of supernovae


A spin-glass model for the loss surfaces of generative adversarial networks


A spring-block theory of feature learning in deep neural networks


A square-root speedup for finding the smallest eigenvalue


A stability-driven protocol for drug response interpretable prediction (staDRIP)


A stable majority population protocol using logarithmic time and states


A stacked search for spatial coincidences between IceCube neutrinos and radio pulsars


A state space approach to dynamic modeling of mouse-tracking data


A statistical approach to latent dynamic modeling with differential equations


A statistical framework for analyzing activity pattern from GPS data


A statistical framework for model-based inverse problems in ultrasound elastography


A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit


A statistical model for isolated convective precipitation events


A statistical significance testing approach for measuring term burstiness with applications to domain-specific terminology extraction


A statistical theory of overfitting for imbalanced classification


A step towards procedural terrain generation with GANs


A step towards understanding why classification helps regression


A stochastic Stein Variational Newton method


A stochastic approximate expectation-maximization for structure determination directly from cryo-EM micrographs


A stochastic approximation method for approximating the efficient frontier of chance-constrained nonlinear programs


A stochastic partial differential equation model for limit order book dynamics


A story of viral co-infection, co-transmission and co-feeding in ticks: how to compute an invasion reproduction number


A structural approach to default modelling with pure jump processes


A structural operational semantics for interactions with a look at loops


A structural optimization algorithm with stochastic forces and stresses


A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms


A study of daytime convective vortices and turbulence in the martian Planetary Boundary Layer based on half-a-year of InSight atmospheric measurements and Large-Eddy Simulations


A study of deep perceptual metrics for image quality assessment


A study of text representations in Hate Speech Detection


A study of two FRBs with low polarization fractions localized with the MeerTRAP transient buffer system


A study on information disorders on social networks during the Chilean social outbreak and COVID-19 pandemic


A study on more realistic room simulation for far-field keyword spotting


A study on partial dynamic equation on time scales involving derivatives of polynomials


A study on the adequacy of common IQA measures for medical images


A study on the impact of pre-trained model on Just-In-Time defect prediction


A study on the invariance in security whatever the dimension of images for the steganalysis by deep-learning


A subjective study of the perceptual acceptability of audio-video desynchronization in sports videos


A subspace-adaptive weights cubature method with application to the local hyperreduction of parameterized finite element models


A superlinearly convergent subgradient method for sharp semismooth problems


A supervised neural network for drag prediction of arbitrary 2D shapes in low Reynolds number flows


A surprisal oracle for when every layer counts


A surrogate model for studying random field energy release rates in 2D brittle fractures


A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences


A survey and classification of face alignment methods based on face models


A survey of BWT variants for string collections


A survey of data transfer and storage techniques in prevalent cryptocurrencies and suggested improvements


A survey of probabilistic generative frameworks for molecular simulations


A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks


A survey on Variational Autoencoders from a GreenAI perspective


A survey on datasets for fairness-aware machine learning


A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework


A survey on locally Homogeneous almost-Hermitian spaces


A survey on measuring indirect discrimination in machine learning


A sustainable development perspective on urban-scale roof greening priorities and benefits


A switching Gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity


A switching state-space transmission model for tracking epidemics and assessing interventions


A symbolic computational approach to the generalized gambler's ruin problem in one and two dimensions


A symmetry-oriented crystal structure prediction method for crystals with rigid bodies


A synthetic data integration framework to leverage external summary-level information from heterogeneous populations


A synthetic sample of short-cadence solar-like oscillators for TESS


A system architecture for parallel analysis of flux-balanced metabolic pathways


A system of interacting neurons with short term synaptic facilitation


A systematic comparison of measures for publishing k-anonymous social network data


A systematic investigation into the effect of roughness on self-propelled swimming plates


A systematic investigation of learnability from single child linguistic input


A systematically-selected sample of luminous, long-duration, ambiguous nuclear transients


A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers


A table of short-period Tausworthe generators for Markov chain quasi-Monte Carlo


A tale of two kinds of exceptional point in a hydrogen molecule


A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles


A tensor decomposition algorithm for large ODEs with conservation laws


A tensor network approach for chaotic time series prediction


A terrain treadmill to study animal locomotion through large obstacles


A test suite of prompt injection attacks for LLM-based machine translation


A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499 nm) bands


A text-to-tabular approach to generate synthetic patient data using LLMs


A theoretical framework for learning through structural plasticity


A theoretical framework for reservoir computing on networks of organic electrochemical transistors


A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise


A theoretical framework to explain non-Nash equilibrium strategic behavior in experimental games


A theory for the slip and drag of superhydrophobic surfaces with surfactant


A theory of continuous generative flow networks


A theory of ecological invasions and its implications for eco-evolutionary dynamics


A theory of transaction parallelism in blockchains


A thermo-flow-mechanics-fracture model coupling a phase-field interface approach and thermo-fluid-structure interaction


A thermodynamic framework for modelling membrane transporters


A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites


A thermostat algorithm generating target ensembles


A thorough benchmark of automatic text classification: From traditional approaches to large language models


A three-dimensional energy flux acoustic propagation model


A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions


A three-step approach to production frontier estimation and the Matsuoka's distribution


A threefold violating a local-to-global principle for rationality


A tidal disruption event coincident with a high-energy neutrino


A time adaptive multirate Dirichlet-Neumann waveform relaxation method for heterogeneous coupled heat equations


A time resolved clustering method revealing longterm structures and their short-term internal dynamics


A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time


A time-discontinuous elasto-plasticity formalism to simulate instantaneous plastic flow bursts


A time-stepping deep gradient flow method for option pricing in (rough) diffusion models


A time-varying bivariate copula joint model for longitudinal and time-to-event data


A tomographic workflow to enable deep learning for X-ray based foreign object detection


A tool to check whether a symmetry-compensated collinear magnetic material is antiferro- or altermagnetic


A toolbox for calculating objective image properties in aesthetics research


A toolkit for data-driven discovery of governing equations in high-noise regimes


A topological data analysis based classification method for multiple measurements


A topological reading of inductive and coinductive definitions in Dependent Type Theory


A topological selection of folding pathways from native states of knotted proteins


A trade-off between hydrodynamic performance and morphological bias limits the evolution of symmetric lattice animal wings


A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification


A transcendental Brauer-Manin obstruction to weak approximation on a Calabi-Yau threefold


A transfer learning based approach for pronunciation scoring


A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosures


A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI


A transparent approach to data representation


A tree perspective on stick-breaking models in covariate-dependent mixtures


A tree-based radial basis function method for noisy parallel surrogate optimization


A trial emulation approach for policy evaluations with group-level longitudinal data


A tropical method for solving parametrized polynomial systems


A truncated mean-parameterised Conway-Maxwell-Poisson model for the analysis of Test match bowlers


A tutorial on Particle Swarm Optimization Clustering


A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials


A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology


A tutorial on implementing De Morgan cubical type theory


A tutorial on learning from preferences and choices with Gaussian Processes


A tutorial on the Bayesian statistical approach to inverse problems


A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles


A two-fluid model for numerical simulation of shear-dominated suspension flows


A two-sample comparison of mean survival times of uncured sub-populations


A unified analysis framework for iterative parallel-in-time algorithms


A unified and consistent electrical double layer model for treatment of core and space charge layer in solid electrolytes


A unified approach to penalized likelihood estimation of covariance matrices in high dimensions


A unified approach to xVA with CSA discounting and initial margin


A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizations


A unified cross-attention model for predicting antigen binding specificity to both HLA and TCR molecules


A unified framework for bandit multiple testing


A unified framework for multiple-try Metropolis algorithms


A unified generalization of inverse regression via adaptive column selection


A unified integral equation scheme for doubly-periodic Laplace and Stokes boundary value problems in two dimensions


A unified model for continuous conditional video prediction


A unified model for the evolution of cataclysmic variables


A unified modeling approach for the static-dynamic uncertainty strategy in stochastic lot-sizing


A unified moment tensor potential for silicon, oxygen, and silica


A unified one-shot prosody and speaker conversion system with self-supervised discrete speech units


A unified picture of medium-induced radiation


A unified platform for GIS data management and analytics


A unified repository for pre-processed climate data weighted by gridded economic activity


A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions


A unified sparse optimization framework to learn parsimonious physics-informed models from data


A uniform bound on the smallest surjective prime of an elliptic curve


A uniform non-linear subdivision scheme reproducing polynomials at any non-uniform grid


A unifying algebraic framework for discontinuous Galerkin and flux reconstruction methods based on the summation-by-parts property


A unifying framework for generalised Bayesian online learning in non-stationary environments


A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses


A unique hot Jupiter spectral sequence with evidence for compositional diversity


A unit-based symbolic execution method for detecting memory corruption vulnerabilities in executable codes


A universal implementation of radiative effects in neutrino event generators


A universal smartphone add-on for portable spectroscopy and polarimetry: iSPEX 2


A universal synthetic dataset for machine learning on spectroscopic data


A user's guide to the local arithmetic of hyperelliptic curves


A user-friendly SPARQL query editor powered by lightweight metadata


A user-friendly tool to convert photon counting data to the open-source Photon-HDF5 file format


A validated fluid-structure interaction simulation model for vortex-induced vibration of a flexible pipe in steady flow


A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression


A variational approach to probing extreme events in turbulent dynamical systems


A variational autoencoder for music generation controlled by tonal tension


A variational discrete element method for quasi-static and dynamic elasto-plasticity


A variational discrete element method for the computation of Cosserat elasticity


A variational model for wrapped phase denoising


A variational neural Bayes framework for inference on intractable posterior distributions


A vector quantized masked autoencoder for speech emotion recognition


A verified and validated moving domain CFD solver with applications to cardiovascular flows


A versatile classification tool for galactic activity using optical and infrared colors


A versatile machine learning workflow for high-throughput analysis of supported metal catalyst particles


A versatile robotic hand with 3D perception, force sensing for autonomous manipulation


A versatile trivariate wrapped Cauchy copula with applications to toroidal and cylindrical data


A vertex scheme for two-phase flow in heterogeneous media


A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta


A view on learning robust goal-conditioned value functions: Interplay between RL and MPC


A viscous active shell theory of the cell cortex


A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasks


A von Mises-Fisher Distribution for the Orbital Poles of the Plutinos


A voxel-level approach to brain age prediction: A method to assess regional brain aging


A water structure indicator suitable for generic contexts: two-liquid behavior at hydration and nanoconfinement conditions and a molecular approach to hydrophobicity and wetting


A weak MLMC scheme for Lévy-copula-driven SDEs with applications to the pricing of credit, equity and interest rate derivatives


A weak lensing perspective on nonlinear structure formation with fuzzy dark matter


A wearable sensor vest for social humanoid robots with GPGPU, IoT, and modular software architecture


A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory


A zero-inflated endemic-epidemic model with an application to measles time series in Germany


A zero-inflated gamma model for deconvolved calcium imaging traces


A$^3$PIM: An Automated, Analytic and Accurate Processing-in-Memory Offloader


A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network


A* CCG Parsing with a Supertag and Dependency Factored Model


A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings


A*3D Dataset: Towards Autonomous Driving in Challenging Environments


A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition


A-Bench: Are LMMs Masters at Evaluating AI-generated Images?


A-CNN: Annularly Convolutional Neural Networks on Point Clouds


A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators


A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation


A-MAL: Automatic Movement Assessment Learning from Properly Performed Movements in 3D Skeleton Videos


A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge


A-SCoRe: Attention-based Scene Coordinate Regression for wide-ranging scenarios


A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation


A-VL: Adaptive Attention for Large Vision-Language Models


A-priori Validation of Subgrid-scale Models for Astrophysical Turbulence


A-star path planning simulation for UAS Traffic Management (UTM) application


A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities


A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity


A1 SLAM: Quadruped SLAM using the A1's Onboard Sensors


A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera Relocalization


A2: Efficient Automated Attacker for Boosting Adversarial Training


A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image


A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image


A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective


A2RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion


A2XP: Towards Private Domain Generalization


A3: Active Adversarial Alignment for Source-Free Domain Adaptation


A3S: A General Active Clustering Method with Pairwise Constraints


A3VLM: Actionable Articulation-Aware Vision Language Model


A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation


A4: Microarchitecture-Aware LLC Management for Datacenter Servers with Emerging I/O Devices


A5/1 is in the Air: Passive Detection of 2G (GSM) Ciphering Algorithms


AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP


AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network


AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks


AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay


AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis


AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation


AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling


AANet: Adaptive Aggregation Network for Efficient Stereo Matching


AANet: Aggregation and Alignment Network with Semi-hard Positive Sample Mining for Hierarchical Place Recognition


AAPMT: AGI Assessment Through Prompt and Metric Transformer


AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog


AAS2RTO: Automated Alert Streams to Real-Time Observations: Preparing for rapid follow-up of transient objects in the era of LSST


AASAE: Augmentation-Augmented Stochastic Autoencoders


AAT: Adapting Audio Transformer for Various Acoustics Recognition Tasks


AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness


ABAC Lab: An Interactive Platform for Attribute-based Access Control Policy Analysis, Tools, and Datasets


ABACuS: All-Bank Activation Counters for Scalable and Low Overhead RowHammer Mitigation


ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation


ABB-BERT: A BERT model for disambiguating abbreviations and contractions


ABBA: Highly Expressive Hadamard Product Adaptation for Large Language Models


ABC-Di: Approximate Bayesian Computation for Discrete Data


ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments


ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression


ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning


ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences


ABCDEFGH: An Adaptation-Based Convolutional Neural Network-CycleGAN Disease-Courses Evolution Framework Using Generative Models in Health Education


ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods


ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images


ABCO: Adaptive Bacterial Colony Optimisation


ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search


ABCinML: Anticipatory Bias Correction in Machine Learning Applications


ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions


ABFS: Natural Robustness Testing for LLM-based NLP Software


ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning


ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge


ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting


ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field


ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation


ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration


ABNIRML: Analyzing the Behavior of Neural IR Models


ABNet: Attention BarrierNet for Safe and Scalable Robot Learning


ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards


ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models


ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation


ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models


ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation


ABatRe-Sim: A Comprehensive Framework for Automated Battery Recycling Simulation


ABodyBuilder3: Improved and scalable antibody structure predictions


AC Josephson effect in a gate-tunable Cd$_3$As$_2$ nanowire superconducting weak link


AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration


AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images


AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models


AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation


AC-Network-Informed DC Optimal Power Flow for Electricity Markets


AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization


AC-Reason: Towards Theory-Guided Actual Causality Reasoning with Large Language Models


AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction


AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks


AC2 -- Towards Understanding Architectural Changes in Rapid Releases


ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention


ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging


ACC-UNet: A Completely Convolutional UNet model for the 2020s


ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems


ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning


ACCES: Non-Invasive Simulation Calibration via Optimisation using Evolutionary Algorithms and Metaprogramming


ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness


ACCESS-FL: Agile Communication and Computation for Efficient Secure Aggregation in Stable Federated Learning Networks


ACCIO: Table Understanding Enhanced via Contrastive Learning with Aggregations


ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation


ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training


ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts


ACD-EDMD: Analytical Construction for Dictionaries of Lifting Functions in Koopman Operator-based Nonlinear Robotic Systems


ACDC: Online Unsupervised Cross-Domain Adaptation


ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation


ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer


ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation


ACE of Space: Estimating Genetic Components of High-Dimensional Imaging Data


ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network


ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations


ACE-Step: A Step Towards Music Generation Foundation Model


ACE2-SOM: Coupling an ML atmospheric emulator to a slab ocean and learning the sensitivity of climate to changed CO$_2$


ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity


ACE: Anatomically Consistent Embeddings in Composition and Decomposition


ACE: Anti-Editing Concept Erasure in Text-to-Image Models


ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency


ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence


ACE: Zero-Shot Image to Image Translation via Pretrained Auto-Contrastive-Encoder


ACEGEN: Reinforcement learning of generative chemical agents for drug discovery


ACER: An AST-based Call Graph Generator Framework


ACES: Automatic Cohort Extraction System for Event-Stream Datasets


ACES: Evaluating Automated Audio Captioning Models on the Semantics of Sounds


ACETest: Automated Constraint Extraction for Testing Deep Learning Operators


ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation


ACFA: Secure Runtime Auditing & Guaranteed Device Healing via Active Control Flow Attestation


ACING: Actor-Critic for Instruction Learning in Black-Box Large Language Models


ACL Ready: RAG Based Assistant for the ACL Checklist


ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion


ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER


ACLNet: An Attention and Clustering-based Cloud Segmentation Network


ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications


ACM MMSys 2024 Bandwidth Estimation in Real Time Communications Challenge


ACM-CR: A Manually Annotated Test Collection for Citation Recommendation


ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization


ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition


ACNN: a Full Resolution DCNN for Medical Image Segmentation


ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning


ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation


ACORN: Adaptive Coordinate Networks for Neural Scene Representation


ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation


ACORNS: An Easy-To-Use Code Generator for Gradients and Hessians


ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification


ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos


ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment


ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction


ACRONYM: A Large-Scale Grasp Dataset Based on Simulation


ACSC: Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems


ACSE-Eval: Can LLMs threat model real-world cloud infrastructure?


ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models


ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation


ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought


ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning


ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion


ACTIN: A tool to calculate stellar activity indices


ACTION-Net: Multipath Excitation for Action Recognition


ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI


ACTISM: Threat-informed Dynamic Security Modelling for Automotive Systems


ACVUBench: Audio-Centric Video Understanding Benchmark


ACW: Enhancing Traceability of AI-Generated Codes Based on Watermarking


ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems


ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles


ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments


AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection


AD-CLIP: Adapting Domains in Prompt Space Using CLIP


AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features


AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning


AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training


AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression


AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR Data


AD-LLM: Benchmarking Large Language Models for Anomaly Detection


AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis


AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection


ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection


ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery


ADA-Track++: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association


ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting


ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings


ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach


ADAPT to Robustify Prompt Tuning Vision Transformers


ADAPT-VQE is insensitive to rough parameter landscapes and barren plateaus


ADAPT: Action-aware Driving Caption Transformer


ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities


ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation


ADAQ-SYM: Automated Symmetry Analysis of Defect Orbitals


ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion


ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training


ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data


ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks


ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing


ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction


ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence Tomography


ADCNet: a unified framework for predicting the activity of antibody-drug conjugates


ADDIS-Graphs for online error control with application to platform trials


ADDMC: Weighted Model Counting with Algebraic Decision Diagrams


ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation


ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process


ADDQ: Adaptive Distributional Double Q-Learning


ADDSL: Hand Gesture Detection and Sign Language Recognition on Annotated Danish Sign Language


ADELIE: Aligning Large Language Models on Information Extraction


ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning


ADEP: A Novel Approach Based on Discriminator-Enhanced Encoder-Decoder Architecture for Accurate Prediction of Adverse Effects in Polypharmacy


ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores


ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning


ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation


ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments


ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs


ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series


ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection


ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting


ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation


ADGSyn: Dual-Stream Learning for Efficient Anticancer Drug Synergy Prediction


ADGym: Design Choices for Deep Anomaly Detection


ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization


ADIFF: Explaining audio difference using natural language


ADIMA: Abuse Detection In Multilingual Audio


ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography


ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training


ADL: A Declarative Language for Agent-Based Chatbots


ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties


ADMM-DAD net: a deep unfolding network for analysis compressed sensing


ADMM-MCBF-LCA: A Layered Control Architecture for Safe Real-Time Navigation


ADMM-SOFTMAX : An ADMM Approach for Multinomial Logistic Regression


ADMM-based Detector for Large-scale MIMO Code-domain NOMA Systems


ADMap: Anti-disturbance framework for reconstructing online vectorized HD map


ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment


ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments


ADOP: Approximate Differentiable One-Pixel Point Rendering


ADOPT: Modified Adam Can Converge with Any $β_2$ with the Optimal Rate


ADPTriage: Approximate Dynamic Programming for Bug Triage


ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction


ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora


ADTOF: A large dataset of non-synthetic music for automatic drum transcription


ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking


ADVIO: An authentic dataset for visual-inertial odometry


ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks


ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents


ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation


ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning


AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction


AEGCN: An Autoencoder-Constrained Graph Convolutional Network


AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition


AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation


AEMLO: AutoEncoder-Guided Multi-Label Oversampling


AENet: Learning Deep Audio Features for Video Analysis


AEON: A Method for Automatic Evaluation of NLP Test Cases


AERO: An autonomous platform for continuous research


AERO: Audio Super Resolution in the Spectral Domain


AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error


AEROMamba: An efficient architecture for audio super-resolution using generative adversarial networks and state space models


AESTRA: Deep Learning for Precise Radial Velocity Estimation in the Presence of Stellar Activity


AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data


AET-SGD: Asynchronous Event-triggered Stochastic Gradient Descent


AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation


AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis


AEye: A Visualization Tool for Image Datasets


AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model


AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation


AFBench: A Large-scale Benchmark for Airfoil Design


AFD: Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement


AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations


AFDP: An Automated Function Description Prediction Approach to Improve Accuracy of Protein Function Predictions


AFEC: Active Forgetting of Negative Transfer in Continual Learning


AFFIRM: Affinity Fusion-based Framework for Iteratively Random Motion correction of multi-slice fetal brain MRI


AFLNet Five Years Later: On Coverage-Guided Protocol Fuzzing


AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework


AFN: Attentional Feedback Network based 3D Terrain Super-Resolution


AFP-SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier


AFPN: Asymptotic Feature Pyramid Network for Object Detection


AFPQ: Asymmetric Floating Point Quantization for LLMs


AFR: An Efficient Buffering Algorithm for Cloud Robotic Systems


AFRIDOC-MT: Document-level MT Corpus for African Languages


AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking


AFS: An Attention-based mechanism for Supervised Feature Selection


AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators


AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images


AFlow: Automating Agentic Workflow Generation


AFreeCA: Annotation-Free Counting for All


AFter: Attention-based Fusion Router for RGBT Tracking


AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge


AG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene Rendering


AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identification


AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification


AGA: An Accelerated Greedy Additional Algorithm for Test Case Prioritization


AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization


AGALE: A Graph-Aware Continual Learning Evaluation Framework


AGAR: Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects


AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping


AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts


AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor Segmentation


AGDA+: Proximal Alternating Gradient Descent Ascent Method with a Nonmonotone Adaptive Step-Size Search for Nonconvex Minimax Problems


AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios


AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion


AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Models


AGGGEN: Ordering and Aggregating while Generating


AGGLIO: Global Optimization for Locally Convex Functions


AGI-Elo: How Far Are We From Mastering A Task?


AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling


AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification


AGILE: A Novel Reinforcement Learning Framework of LLM Agents


AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment


AGIR: Automating Cyber Threat Intelligence Reporting with Natural Language Generation


AGITB: A Signal-Level Benchmark for Evaluating Artificial General Intelligence


AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning


AGL-NET: Aerial-Ground Cross-Modal Global Localization with Varying Scales


AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy