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17 Results
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Workshop
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On Equivalences between Weight and Function-Space Langevin Dynamics Ziyu Wang · Yuhao Zhou · Ruqi Zhang · Jun Zhu |
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Workshop
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A Fair Loss Function for Network Pruning Robbie Meyer · Alexander Wong |
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Poster
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Tue 14:00 |
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees Ruikun Zhou · Thanin Quartz · Hans De Sterck · Jun Liu |
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Poster
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Tue 9:00 |
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions Rayan Mazouz · Karan Muvvala · Akash Ratheesh Babu · Luca Laurenti · Morteza Lahijanian |
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Workshop
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Approximate Bayesian Computation for Panel Data with Signature Maximum Mean Discrepancies Joel Dyer · John Fitzgerald · Bastian Rieck · Sebastian Schmon |
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Workshop
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Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard · Houssam Metni · Georg Fahland · Alexander Stroh · Pascal Friederich |
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Poster
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Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera Hongrui Cai · Wanquan Feng · Xuetao Feng · Yan Wang · Juyong Zhang |
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Poster
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Tue 9:00 |
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park · Sangdoo Yun · Sanghyuk Chun |
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Workshop
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Learning Ordinary Differential Equations with the Line Integral Loss Function Albert Johannessen |
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Poster
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Tue 9:00 |
Structured Energy Network As a Loss Jay Yoon Lee · Dhruvesh Patel · Purujit Goyal · Wenlong Zhao · Zhiyang Xu · Andrew McCallum |
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Poster
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Tue 9:00 |
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss Jason Altschuler · Kunal Talwar |
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Poster
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Tue 14:00 |
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou · Chong You · Xiao Li · Kangning Liu · Sheng Liu · Qing Qu · Zhihui Zhu |