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Poster
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Wed 14:00
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HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction
Zalan Fabian · Berk Tinaz · Mahdi Soltanolkotabi
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Workshop
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pyGSL: A Graph Structure Learning Toolkit
Max Wasserman · Gonzalo Mateos
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Workshop
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Physics aware inference for the cryo-EM inverse problem: anisotropic network model heterogeneity, global 3D pose and microscope defocus
Geoffrey Woollard · Shayan Shekarforoush · Frank Wood · Marcus Brubaker · Khanh Dao Duc
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Poster
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Thu 14:00
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On the difficulty of learning chaotic dynamics with RNNs
Jonas Mikhaeil · Zahra Monfared · Daniel Durstewitz
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Workshop
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Hybrid integration of the gravitational N-body problem with Artificial Neural Networks
Veronica Saz Ulibarrena · Simon Portegies Zwart · Elena Sellentin · Barry Koren · Philipp Horn · Maxwell X. Cai
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Poster
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Thu 14:00
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DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu · Zhiqing Sun · Yiming Yang
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Poster
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Thu 9:00
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Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
Yimeng Min · Frederik Wenkel · Michael Perlmutter · Guy Wolf
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Poster
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Tue 9:00
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NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si
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Poster
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Thu 9:00
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A Universal Error Measure for Input Predictions Applied to Online Graph Problems
Giulia Bernardini · Alexander Lindermayr · Alberto Marchetti-Spaccamela · Nicole Megow · Leen Stougie · Michelle Sweering
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Poster
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Tue 14:00
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Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres
Joshua Mitton · Simon Mekhail · Miles Padgett · Daniele Faccio · Marco Aversa · Roderick Murray-Smith
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Poster
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Wed 9:00
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Signal Recovery with Non-Expansive Generative Network Priors
Jorio Cocola
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Poster
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Tue 14:00
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Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Peter Lippmann · Enrique Fita Sanmartín · Fred Hamprecht
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