Neural Networks

Improving EV Aggregate Flexibility with End-to-End Learning L4DC 2026 Learning Expressive Random Feature Models via Parametrized Activations UAI 2026 Learning Nonholonomic Dynamics with Constraint Discovery L4DC 2026 Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent JMLR 2026 Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention ALT 2026 Associative Transformer CVPR 2025 Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network AAAI 2025 IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION ICLR 2025 Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks AAAI 2025 LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025 Neural Networks Perform Sufficient Dimension Reduction AAAI 2025 Protein Fitness Landscape: Spectral Graph Theory Perspective AISTATS 2025 SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition ICCV 2025 Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET) AISTATS 2025 Universality of Real Minimal Complexity Reservoir AAAI 2025 WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning ICLR 2025 Accelerated Sampling with Stacked Restricted Boltzmann Machines ICLR 2024 A faster and simpler algorithm for learning shallow networks COLT 2024 A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NeurIPS 2024 Back to the Continuous Attractor NeurIPS 2024 Better by default: Strong pre-tuned MLPs and boosted trees on tabular data NeurIPS 2024 Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NeurIPS 2024 Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems NeurIPS 2024 Guiding GBFS through Learned Pairwise Rankings IJCAI 2024 Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024