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Workshop
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CP-PINNs: Changepoints Detection in PDEs using Physics Informed Neural Networks with Total-Variation Penalty
Zhikang Dong · Pawel Polak
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Competition
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Fri 7:05
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Presentation of the ELSA network
Mario Fritz
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Workshop
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The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure
Anton Tsitsulin · Bryan Perozzi
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Workshop
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ProtoHG: Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks
Shuai Wang · Jiayi Shen · Athanasios Efthymiou · Stevan Rudinac · Monika Kackovic · Nachoem Wijnberg · Marcel Worring
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Workshop
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Two-Step Bayesian PINNs for Uncertainty Estimation
Pablo Flores · Olga Graf · Pavlos Protopapas · Karim Pichara
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Workshop
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A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network
Takuya Kurihana · · Kyongmin Yeo · Daniela Szwarcman · Bruce Elmegreen · Surya Karthik Mukkavilli · Johannes Schmude
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Workshop
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Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant Networks
Favour Nerrise · Andrew Sosanya · Patrick Neary
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Workshop
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Physics-Informed Tensor Basis Neural Network for Turbulence Closure Modeling
Leon Riccius · Atul Agrawal · Phaedon S Koutsourelakis
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Workshop
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DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
Simiao Zuo · Haoming Jiang · Qingyu Yin · Xianfeng Tang · Bing Yin · Tuo Zhao
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Poster
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Wed 8:45
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Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs
Zebang Shen · Zhenfu Wang
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Poster
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Wed 15:00
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Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt · Cengiz Pehlevan · Alper Erdogan
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Poster
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Tue 8:45
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Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
Dongjie Wang · Meng Xiao · Min Wu · pengfei wang · Yuanchun Zhou · Yanjie Fu
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