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Workshop
Fri 14:00 Outstanding Paper: Interpreting Robustness Proofs of Deep Neural Networks - Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
Debangshu Banerjee
Workshop
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora · Kartik Patwari · Syed Mahbub Hafiz · Zubair Shafiq · Chen-Nee Chuah
Workshop
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Filip Ekström Kelvinius · Dimitar Georgiev · Artur Toshev · Johannes Gasteiger
Workshop
Good Lattice Accelerates Physics-Informed Neural Networks
Takashi Matsubara · Takaharu Yaguchi
Workshop
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
Francesco Campi · Lukas Gosch · Tom Wollschläger · Yan Scholten · Stephan Günnemann
Workshop
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
Jiong Zhu · Aishwarya Naresh Reganti · Edward Huang · Charles Dickens · Nikhil Rao · Karthik Subbian · Danai Koutra
Workshop
Sat 13:30 Joseph Shenouda: A Representer Theorem for Vector-Valued Neural Networks: Insights on Weight Decay Training and Widths of Deep Neural Networks
Workshop
Fri 18:30 How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
Sayanton Dibbo · Siddharth Mansingh · Jocelyn Rego · Garrett T Kenyon · Juston Moore · Michael Teti
Workshop
Evaluating the diversity and utility of materials proposed by generative models
Alexander New · Michael Pekala · Elizabeth Pogue · Nam Q. Le · Janna Domenico · Christine Piatko · Christopher Stiles
Workshop
Beyond weight plasticity: Local learning with propagation delays in spiking neural networks
Jørgen Farner · Ola Ramstad · Stefano Nichele · Kristine Heiney
Workshop
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information
Seongsik Park · Jeonghee Jo · Jongkil Park · Yeonjoo Jeong · Jaewook Kim · Suyoun Lee · Joon Young Kwak · Inho Kim · Jong-keuk Park · Kyeong Lee · Hwang Weon · Hyun Jae Jang
Poster
Wed 14:00 Path Neural Networks: Expressive and Accurate Graph Neural Networks
Gaspard Michel · Giannis Nikolentzos · Johannes Lutzeyer · Michalis Vazirgiannis