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05/25/2023
Securing Deep Generative Models with Universal Adversarial Signature
Recent advances in deep generative models have led to the development of...
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05/24/2023
T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities
Diffusion Probabilistic Field (DPF) models the distribution of continuou...
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04/03/2023
Depth Separation with Multilayer Mean-Field Networks
Depth separation – why a deeper network is more powerful than a shallowe...
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02/11/2023
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee
In this work, we consider the stochastic optimal control problem in cont...
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02/01/2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
In deep learning, often the training process finds an interpolator (a so...
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12/16/2022
A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem
We consider the inverse acoustic obstacle problem for sound-soft star-sh...
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10/07/2022
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
Recently, researchers observed that gradient descent for deep neural net...
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10/03/2022
Plateau in Monotonic Linear Interpolation – A "Biased" View of Loss Landscape for Deep Networks
Monotonic linear interpolation (MLI) - on the line connecting a random i...
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05/19/2022
On Trace of PGD-Like Adversarial Attacks
Adversarial attacks pose safety and security concerns for deep learning ...
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03/02/2022
Enhancing Adversarial Robustness for Deep Metric Learning
Owing to security implications of adversarial vulnerability, adversarial...
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01/31/2022
Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees
We propose a single time-scale actor-critic algorithm to solve the linea...
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06/11/2021
Understanding Deflation Process in Over-parametrized Tensor Decomposition
In this paper we study the training dynamics for gradient flow on over-p...
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06/07/2021
Adversarial Attack and Defense in Deep Ranking
Deep Neural Network classifiers are vulnerable to adversarial attack, wh...
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04/04/2021
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
Pedestrian trajectory prediction is a key technology in autopilot, which...
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03/09/2021
Practical Relative Order Attack in Deep Ranking
Recent studies unveil the vulnerabilities of deep ranking models, where ...
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02/22/2021
Actor-Critic Method for High Dimensional Static Hamilton–Jacobi–Bellman Partial Differential Equations based on Neural Networks
We propose a novel numerical method for high dimensional Hamilton–Jacobi...
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02/04/2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
While over-parameterization is widely believed to be crucial for the suc...
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02/26/2020
Adversarial Ranking Attack and Defense
Deep Neural Network (DNN) classifiers are vulnerable to adversarial atta...
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02/07/2020
Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach
We propose a new method to solve eigenvalue problems for linear and semi...
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11/18/2019
Ladder Loss for Coherent Visual-Semantic Embedding
For visual-semantic embedding, the existing methods normally treat the r...
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09/10/2019
Towards Understanding the Importance of Shortcut Connections in Residual Networks
Residual Network (ResNet) is undoubtedly a milestone in deep learning. R...
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09/07/2019