Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysisby Sina Sharifi, Mahyar FazlyabFirst…
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networksby Tristan Cinquin, Robert BamlerFirst…
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priorsby Tam Thuc Do, Parham Eftekhar,…
Element-wise Multiplication Based Deeper Physics-Informed Neural Networksby Feilong Jiang, Xiaonan Hou, Min XiaFirst submitted to…
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samplesby Dake Bu, Wei Huang, Taiji Suzuki,…
Unveiling the Dynamics of Information Interplay in Supervised Learningby Kun Song, Zhiquan Tan, Bochao Zou,…
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoringby…
A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTMby Yongan Zhang, Junfeng…
Credit Card Fraud Detection Using Advanced Transformer Modelby Chang Yu, Yongshun Xu, Jin Cao, Ye…
Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPUby Daniel Galvez,…