Theory

Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds AAAI 2026 BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities WACV 2026 Breaking Task Boundaries: A Unified Model for 3D Medical Image Fusion and Segmentation Guided by Manifold Perspective AAAI 2026 Bridging Distance and Spectral Positional Encodings via Anchor-Based Diffusion Geometry Approximation ACL 2026 CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow WACV 2026 Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis AAAI 2026 Capacity Constraints Make Admissions Processes Less Predictable AAAI 2026 Causal Explanations for Sequential Decision Making (Abstract Reprint) AAAI 2026 Central Limit Theorems for Asynchronous Averaged Q-Learning L4DC 2026 Certified L2-Norm Robustness of 3D Point Cloud Recognition in the Frequency Domain AAAI 2026 CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage AAAI 2026 Choosing Abstraction Levels for Model-Based Software Debugging: A Theoretical and Empirical Analysis for Spreadsheet Programs (Abstract Reprint) AAAI 2026 Compact Geometric Representations of Hierarchies COLT 2026 Conformal Prediction for Multi-Source Detection on a Network AAAI 2026 Conformal Prediction Meets Long-tail Classification AAAI 2026 Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency AAAI 2026 Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds AAAI 2026 Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis CVPR 2026 Deeply Seeking Boundary for Lunar Regolith Segmentation AAAI 2026 Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization AAAI 2026 Description Logics with Two Types of Definite Descriptions: Complexity, Expressiveness, and Automated Deduction AAAI 2026 Detecting Overflow in Compressed Token Representations for Retrieval-Augmented Generation EACL 2026 DoTA: Latent Distribution Conditioned Data Attribution for Diffusion Models WACV 2026 Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis AAAI 2026 Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method AAAI 2026