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Workshop
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Poster: Amortized Variational Deep Q Network
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Workshop
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Sat 9:00
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Frank Noé - PauliNet: Deep Neural Network Solution of the Electronic Schrödinger Equation
Frank Noe
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Poster
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Tue 21:00
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Breaking the Communication-Privacy-Accuracy Trilemma
Wei-Ning Chen · Peter Kairouz · Ayfer Ozgur
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Workshop
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Fri 7:12
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Contributed Talk 3: A Riemannian gradient flow perspective on learning deep linear neural networks
Ulrich Terstiege · Holger Rauhut · Bubacarr Bah · Michael Westdickenberg
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Workshop
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Estimating Forest Ground Vegetation Cover From Nadir Photographs Using Deep Convolutional Neural Networks
Martin Barczyk
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Workshop
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Sat 18:30
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Single-Station Earthquake Location Using Deep Neural Networks
S. Mostafa Mousavi
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Workshop
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Fri 9:06
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Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
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Poster
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Thu 9:00
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Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Roman Pogodin · Peter E Latham
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Workshop
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Fri 8:30
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Deep Networks and the Multiple Manifold Problem
Samuel Buchanan · Dar Gilboa · John Wright
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Workshop
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Fri 15:50
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Contributed Talk 5: Paper 19: Deep convolutional tensor network
Philip Blagoveschensky
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Workshop
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Sat 5:40
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Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
Kathryn Schutte
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Workshop
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Comparing Sparse and Deep Neural Network(NN)s: Using AI to Detect Cancer.
Charles Strauss
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