Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learningby Joanna Sliwa, Frank Schneider, Nathanael…
On the Expressiveness of Multi-Neuron Convex Relaxationsby Yuhao Mao, Yani Zhang, Martin VechevFirst submitted to…
DCP: Learning Accelerator Dataflow for Neural Network via Propagationby Peng Xu, Wenqi Shao, Mingyu Ding,…
Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matchingby Wenqi Niu,…
Task-oriented Time Series Imputation Evaluation via Generalized Representersby Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong…
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learningby Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian SchifferFirst…
Filtered Randomized Smoothing: A New Defense for Robust Modulation Classificationby Wenhan Zhang, Meiyu Zhong, Ravi…
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regressionby Weigutian…
Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priorsby Michael…
Solving Functional Optimization with Deep Networks and Variational Principlesby Kawisorn Kamtue, Jose M.F. Moura, Orathai…