Theory

Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024 Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study AAAI 2024 Credit Attribution and Stable Compression NeurIPS 2024 Critical Gap Between Generalization Error and Empirical Error in Active Learning WACV 2024 Critical windows: non-asymptotic theory for feature emergence in diffusion models ICML 2024 CR-SAM: Curvature Regularized Sharpness-Aware Minimization AAAI 2024 Cryptographic Hardness of Score Estimation NeurIPS 2024 Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning EMNLP 2024 Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. NeurIPS 2024 Deep linear networks for regression are implicitly regularized towards flat minima NeurIPS 2024 Deep Network Approximation: Beyond ReLU to Diverse Activation Functions JMLR 2024 Deep Neural Network Approximation of Invariant Functions through Dynamical Systems JMLR 2024 Defining Knowledge: Bridging Epistemology and Large Language Models EMNLP 2024 Déjà Vu Memorization in Vision–Language Models NeurIPS 2024 Demystifying Poisoning Backdoor Attacks from a Statistical Perspective ICLR 2024 Dense Associative Memory Through the Lens of Random Features NeurIPS 2024 Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization JMLR 2024 Derandomizing Multi-Distribution Learning NeurIPS 2024 Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories IJCAI 2024 DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation CVPR 2024 Differentially Private Topological Data Analysis JMLR 2024 Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024 Disjoint Partial Enumeration without Blocking Clauses AAAI 2024 Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI ICLR 2024