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09/01/2023
Structure and Gradient Dynamics Near Global Minima of Two-layer Neural Networks
Under mild assumptions, we investigate the structure of loss landscape o...
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05/26/2022
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
Unraveling the general structure underlying the loss landscapes of deep ...
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11/19/2021
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs
Compiler frameworks are crucial for the widespread use of FPGA-based dee...
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07/08/2021
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs
In this paper, we propose a model-operator-data network (MOD-Net) for so...
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06/28/2020
Two-Layer Neural Networks for Partial Differential Equations: Optimization and Generalization Theory
Deep learning has significantly revolutionized the design of numerical a...
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01/19/2019
