Neural Networks

Latent Mamba Operator for Partial Differential Equations ICML 2025 LAuReL: Learned Augmented Residual Layer ICML 2025 Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks AAAI 2025 LayerLock: Non-collapsing Representation Learning with Progressive Freezing ICCV 2025 Layer-wise Quantization for Quantized Optimistic Dual Averaging ICML 2025 Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees ICML 2025 LEAPS: A discrete neural sampler via locally equivariant networks ICML 2025 Learning Adaptive Lighting via Channel-Aware Guidance ICML 2025 Learning and aligning single-neuron invariance manifolds in visual cortex ICLR 2025 Learning Chaos In A Linear Way ICLR 2025 Learning Color Equivariant Representations ICLR 2025 Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval CVPR 2025 Learning conditional distributions on continuous spaces JMLR 2025 Learning Deep Dissipative Dynamics AAAI 2025 Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations IJCAI 2025 Learning dynamics in linear recurrent neural networks ICML 2025 Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability ICLR 2025 Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination AAAI 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025 Learning General-purpose Biomedical Volume Representations using Randomized Synthesis ICLR 2025 Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images CVPR 2025 Learning Hierarchical Line Buffer for Image Processing ICCV 2025 Learning High-Degree Parities: The Crucial Role of the Initialization ICLR 2025 Learning Kolmogorov-Arnold Neural Activation Functions by Infinite-Dimensional Optimization L4DC 2025 Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics ICLR 2025