Summary of On the Expressiveness Of Multi-neuron Convex Relaxations, by Yuhao Mao et al.
On the Expressiveness of Multi-Neuron Convex Relaxationsby Yuhao Mao, Yani Zhang, Martin VechevFirst submitted to…
Summary of Dcp: Learning Accelerator Dataflow For Neural Network Via Propagation, by Peng Xu et al.
DCP: Learning Accelerator Dataflow for Neural Network via Propagationby Peng Xu, Wenqi Shao, Mingyu Ding,…
Summary of Efficient and Robust Knowledge Distillation From a Stronger Teacher Based on Correlation Matching, by Wenqi Niu et al.
Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matchingby Wenqi Niu,…
Summary of Task-oriented Time Series Imputation Evaluation Via Generalized Representers, by Zhixian Wang and Linxiao Yang and Liang Sun and Qingsong Wen and Yi Wang
Task-oriented Time Series Imputation Evaluation via Generalized Representersby Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong…
Summary of Wardropnet: Traffic Flow Predictions Via Equilibrium-augmented Learning, by Kai Jungel et al.
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learningby Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian SchifferFirst…
Summary of Covering Numbers For Deep Relu Networks with Applications to Function Approximation and Nonparametric Regression, by Weigutian Ou et al.
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regressionby Weigutian…
Summary of Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models with and Without Pre-trained Priors, by Michael J. Kenney et al.
Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priorsby Michael…
Summary of Solving Functional Optimization with Deep Networks and Variational Principles, by Kawisorn Kamtue et al.
Solving Functional Optimization with Deep Networks and Variational Principlesby Kawisorn Kamtue, Jose M.F. Moura, Orathai…
Summary of Filtered Randomized Smoothing: a New Defense For Robust Modulation Classification, by Wenhan Zhang et al.
Filtered Randomized Smoothing: A New Defense for Robust Modulation Classificationby Wenhan Zhang, Meiyu Zhong, Ravi…
Summary of Benign Overfitting For Regression with Trained Two-layer Relu Networks, by Junhyung Park et al.
Benign Overfitting for Regression with Trained Two-Layer ReLU Networksby Junhyung Park, Patrick Bloebaum, Shiva Prasad…