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11/05/2022
Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers
Predicting discrete events in time and space has many scientific applica...
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10/02/2022
Deep Invertible Approximation of Topologically Rich Maps between Manifolds
How can we design neural networks that allow for stable universal approx...
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04/15/2022
Conditional Injective Flows for Bayesian Imaging
Most deep learning models for computational imaging regress a single rec...
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10/08/2021
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
We analyze neural networks composed of bijective flows and injective exp...
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02/20/2021
Trumpets: Injective Flows for Inference and Inverse Problems
We propose injective generative models called Trumpets that generalize i...
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06/15/2020
Globally Injective ReLU Networks
We study injective ReLU neural networks. Injectivity plays an important ...
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06/10/2020
Learning the geometry of wave-based imaging
We propose a general deep learning architecture for wave-based imaging p...
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01/29/2019
