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08/23/2023
Improving Generative Model-based Unfolding with Schrödinger Bridges
Machine learning-based unfolding has enabled unbinned and high-dimension...
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07/03/2023
Improved sampling via learned diffusions
Recently, a series of papers proposed deep learning-based approaches to ...
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03/03/2023
Deep Momentum Multi-Marginal Schrödinger Bridge
Reconstructing population dynamics using only samples from distributions...
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02/12/2023
I^2SB: Image-to-Image Schrödinger Bridge
We propose Image-to-Image Schrödinger Bridge (I^2SB), a new class of con...
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09/20/2022
Deep Generalized Schrödinger Bridge
Mean-Field Game (MFG) serves as a crucial mathematical framework in mode...
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10/21/2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Schrödinger Bridge (SB) is an optimal transport problem that has receive...
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09/29/2021
Second-Order Neural ODE Optimizer
We propose a novel second-order optimization framework for training the ...
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05/08/2021
Dynamic Game Theoretic Neural Optimizer
The connection between training deep neural networks (DNNs) and optimal ...
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04/01/2021
Variational Inference MPC using Tsallis Divergence
In this paper, we provide a generalized framework for Variational Infere...
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07/17/2020
A Differential Game Theoretic Neural Optimizer for Training Residual Networks
Connections between Deep Neural Networks (DNNs) training and optimal con...
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02/20/2020
Differential Dynamic Programming Neural Optimizer
Interpretation of Deep Neural Networks (DNNs) training as an optimal con...
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08/28/2019
Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective
Attempts from different disciplines to provide a fundamental understandi...
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05/30/2017