Skip to yearly menu bar Skip to main content


Search All 2022 Events
 

12 Results

<<   <   Page 1 of 1   >>   >
Poster
Thu 14:00 Signal Processing for Implicit Neural Representations
Dejia Xu · Peihao Wang · Yifan Jiang · Zhiwen Fan · Zhangyang Wang
Workshop
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation
Marius Millea
Workshop
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation
Linfeng Zhao · Huazhe Xu · Lawson Wong
Poster
Tue 14:00 Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang · Tom Griffiths · Sergey Levine
Poster
Wed 9:00 The Curse of Unrolling: Rate of Differentiating Through Optimization
Damien Scieur · Gauthier Gidel · Quentin Bertrand · Fabian Pedregosa
Poster
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
Runze Liu · Fengshuo Bai · Yali Du · Yaodong Yang
Workshop
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Yuan Yin · Matthieu Kirchmeyer · Jean-Yves Franceschi · Alain Rakotomamonjy · Patrick Gallinari
Poster
Wed 9:00 Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
Michael Poli · Winnie Xu · Stefano Massaroli · Chenlin Meng · Kuno Kim · Stefano Ermon
Poster
Tue 14:00 Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
Axel Laborieux · Friedemann Zenke
Poster
Thu 14:00 Efficient and Modular Implicit Differentiation
Mathieu Blondel · Quentin Berthet · Marco Cuturi · Roy Frostig · Stephan Hoyer · Felipe Llinares-Lopez · Fabian Pedregosa · Jean-Philippe Vert
Poster
Tue 9:00 Theseus: A Library for Differentiable Nonlinear Optimization
Luis Pineda · Taosha Fan · Maurizio Monge · Shobha Venkataraman · Paloma Sodhi · Ricky T. Q. Chen · Joseph Ortiz · Daniel DeTone · Austin Wang · Stuart Anderson · Jing Dong · Brandon Amos · Mustafa Mukadam
Poster
Tue 9:00 Myriad: a real-world testbed to bridge trajectory optimization and deep learning
Nikolaus Howe · Simon Dufort-Labbé · Nitarshan Rajkumar · Pierre-Luc Bacon