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Workshop
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Convergence Properties of Hyperbolic Neural Networks on Riemannian Manifolds
Nico Alvarado · Sebastian Burgos
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Workshop
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Algorithmic Stability of Minimum-Norm Interpolating Deep Neural Networks
Ouns El Harzli · yoonsoo nam · Ilja Kuzborskij · Bernardo Grau · Ard Louis
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Workshop
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Klein Model for Hyperbolic Neural Networks
Yidan Mao · Jing Gu · Marcus Werner · Dongmian Zou
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Workshop
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Task-Relevant Covariance from Manifold Capacity Theory Improves Robustness in Deep Networks
William Yang · Chi-Ning Chou · SueYeon Chung
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Workshop
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Conic Activation Functions
Changqing Fu · Laurent Cohen
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Workshop
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A Linear Network Theory of Iterated Learning
Devon Jarvis · Richard Klein · Benjamin Rosman · Andrew Saxe
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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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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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Workshop
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Sat 15:50
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Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification
Benedict Aaron Tjandra
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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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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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