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Workshop
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Geometry-informed Neural Networks
Arturs Berzins · Andreas Radler · Sebastian Sanokowski · Sepp Hochreiter · Johannes Brandstetter
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Poster
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Thu 2:30
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Robust Learning-Augmented Dictionaries
Ali Zeynali · Shahin Kamali · Mohammad Hajiesmaili
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Workshop
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Accelerating Electron Dynamics Simulations through Machine Learned Time Propagators
Karan Shah · Attila Cangi
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Poster
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Thu 2:30
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Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
Yuxin Dong · Tieliang Gong · Hong Chen · Zhongjiang He · Shiquan Wang · Shuangyong Song · Chen Li
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Workshop
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Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
Kazusato Oko · Denny Wu · Jason Lee · Taiji Suzuki
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Oral
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Thu 2:00
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SΩI: Score-based O-INFORMATION Estimation
Mustapha BOUNOUA · Giulio Franzese · Pietro Michiardi
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Poster
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Thu 2:30
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RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
Boning Li · Zhixuan Fang · Longbo Huang
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Workshop
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On the metastability of learning algorithms in physics-informed neural networks: a case study on Schr\"{o}dinger operators
Alessandro Selvitella
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Poster
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Thu 2:30
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SΩI: Score-based O-INFORMATION Estimation
Mustapha BOUNOUA · Giulio Franzese · Pietro Michiardi
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Poster
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Wed 2:30
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Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
Shuze Liu · Shangtong Zhang
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Workshop
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State Space Models are Comparable to Transformers in Estimating Functions with Dynamic Smoothness
Naoki Nishikawa · Taiji Suzuki
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Poster
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Thu 2:30
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Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
Darya Biparva · Donatello Materassi
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