neural network

Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025 Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. AAAI 2025 TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting ICLR 2025 Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models IJCAI 2025 Top-Down Guidance for Learning Object-Centric Representations IJCAI 2025 To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation AAAI 2025 Toward Generalizing Visual Brain Decoding to Unseen Subjects ICLR 2025 Towards an AI Course Based on Neural Networks AAAI 2025 Towards a Unified and Verified Understanding of Group-Operation Networks ICLR 2025 Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification ICML 2025 Towards Foundation Models for Mixed Integer Linear Programming ICLR 2025 Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification JMLR 2025 Towards Performance Consistency in Multi-Level Model Collaboration ICCV 2025 Towards Robust Training via Gradient-Diversified Backpropagation WACV 2025 Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression ICLR 2025 Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin JMLR 2025 TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes WACV 2025 Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra ICML 2025 Transformers are Universal In-context Learners ICLR 2025 Transformers without Normalization CVPR 2025 TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification ICLR 2025 Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality AISTATS 2025 Understanding Optimization in Deep Learning with Central Flows ICLR 2025 Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling CVPR 2025 UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection CVPR 2025