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Workshop
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Adversarial Attacks as Near-Zero Eigenvalues in the Empirical Kernel of Neural Networks
Ouns El Harzli · Bernardo Grau
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Poster
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Wed 11:00
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Are Graph Neural Networks Optimal Approximation Algorithms?
Morris Yau · Nikolaos Karalias · Eric Lu · Jessica Xu · Stefanie Jegelka
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Poster
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Thu 16:30
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Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
Mitchell Keren Taraday · Almog David · Chaim Baskin
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Poster
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Wed 16:30
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Continuous Product Graph Neural Networks
Aref Einizade · Fragkiskos Malliaros · Jhony H. Giraldo
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Poster
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Wed 11:00
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What do Graph Neural Networks learn? Insights from Tropical Geometry
Tuan Anh Pham · Vikas Garg
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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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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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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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Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch · Mahalakshmi Sabanayagam · Debarghya Ghoshdastidar · Stephan Günnemann
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Workshop
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Invariant Graphon Networks: Approximation and Cut Distance
Daniel Herbst · Stefanie Jegelka
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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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Workshop
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Preconditioned Crank-Nicolson Algorithms for Wide Bayesian Neural Networks
Lucia Pezzetti · Stefano Favaro · Stefano Peluchetti
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