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07/17/2023
Robot motor learning shows emergence of frequency-modulated, robust swimming with an invariant Strouhal-number
Fish locomotion emerges from a diversity of interactions among deformabl...
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06/09/2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
This paper investigates conservative exploration in reinforcement learni...
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05/05/2023
Random Smoothing Regularization in Kernel Gradient Descent Learning
Random smoothing data augmentation is a unique form of regularization th...
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02/14/2022
Optimizing Random Mixup with Gaussian Differential Privacy
Differentially private data release receives rising attention in machine...
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11/10/2021
Effects of Design and Hydrodynamic Parameters on Optimized Swimming for Simulated, Fish-inspired Robots
In this work we developed a mathematical model and a simulation platform...
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07/04/2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Over-parameterization is ubiquitous nowadays in training neural networks...
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05/23/2019
Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence
Over-parameterization is ubiquitous nowadays in training neural networks...
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04/24/2019
S^2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning
This paper proposes a novel Stochastic Split Linearized Bregman Iteratio...
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11/28/2017