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Workshop
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Graph Neural Bayesian Optimization for Virtual Screening
Miles Wang-Henderson · Bartu Soyuer · Parnian Kassraie · Andreas Krause · Ilija Bogunovic
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Workshop
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What Improves the Generalization of Graph Transformer? A Theoretical Dive into Self-attention and Positional Encoding
Hongkang Li · Meng Wang · Tengfei Ma · Sijia Liu · ZAIXI ZHANG · Pin-Yu Chen
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Workshop
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JETLOV: Enhancing Jet Tree Tagging through Neural Network Learning of Optimal LundNet Variables
Giorgio Cerro
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Poster
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Wed 15:00
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Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives
Yahong Yang · Haizhao Yang · Yang Xiang
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Workshop
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Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han · Meisam Razaviyayn · Renyuan Xu
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Workshop
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Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
Yicheng Wang · Xiaotian Han · Chia-Yuan Chang · Daochen Zha · Ulisses M. Braga-Neto · Xia Hu
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Poster
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Thu 8:45
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How Does Adaptive Optimization Impact Local Neural Network Geometry?
Kaiqi Jiang · Dhruv Malik · Yuanzhi Li
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Workshop
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Multibasis Encodings in Recurrent Neural Network Wave Functions for Variational Optimization
Wirawat Kokaew
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Workshop
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Connectivity Optimized Nested Line Graph Networks for Crystal Structures
Robin Ruff · Patrick Reiser · Jan Stühmer · Pascal Friederich
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Workshop
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Computing high-dimensional optimal transport by flow neural networks
Chen Xu · Xiuyuan Cheng · Yao Xie
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Workshop
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Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings
Deep Chatterjee · Philip Harris · Maanas Goel · Malina Desai · Michael Coughlin · Erik Katsavounidis
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Poster
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Wed 15:00
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Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Ziyi Huang · Henry Lam · Haofeng Zhang
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