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Workshop
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Towards characterizing the value of edge embeddings in Graph Neural Networks
Dhruv Rohatgi · Tanya Marwah · Zachary Lipton · Jianfeng Lu · Ankur Moitra · Andrej Risteski
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Workshop
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Sat 9:20
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MotherNet: Fast Training and Inference via Hyper-Network Transformers
Andreas Mueller · Carlo Curino · Raghu Ramakrishnan
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Workshop
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Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions
Mihai Nica · Janosch Ortmann
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Workshop
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Invariant Graphon Networks: Approximation and Cut Distance
Daniel Herbst · Stefanie Jegelka
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Workshop
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Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch · Mahalakshmi Sabanayagam · Debarghya Ghoshdastidar · Stephan Günnemann
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Affinity Event
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Solving Kuramoto Oscillator Model using Physics Informed Neural Network
Alif Bin Abdul Qayyum · A Abeer
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Poster
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Wed 11:00
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The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
Christopher Blöcker · Chester Tan · Ingo Scholtes
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Workshop
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Preconditioned Crank-Nicolson Algorithms for Wide Bayesian Neural Networks
Lucia Pezzetti · Stefano Favaro · Stefano Peluchetti
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Workshop
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Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations
Satyananda Kashyap · Niharika DSouza · Luyao Shi · Ken C. L. Wong · Hongzhi Wang · Tanveer Syeda-Mahmood
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Workshop
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Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations
Satyananda Kashyap · Niharika DSouza · Luyao Shi · Ken C. L. Wong · Hongzhi Wang · Tanveer Syeda-Mahmood
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