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Workshop
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
Francesco Campi · Lukas Gosch · Tom Wollschläger · Yan Scholten · Stephan Günnemann
Workshop
Physics-oriented adversarial attacks on SAR image target recognition
Jiahao Cui · wang Guo · Run Shao · tiandong Shi · Haifeng Li
Workshop
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
Chejian Xu · Ding Zhao · Alberto Sngiovanni Vincentelli · Bo Li
Workshop
BatchGFN: Generative Flow Networks for Batch Active Learning
Shreshth Malik · Salem Lahlou · Andrew Jesson · Moksh Jain · Nikolay Malkin · Tristan Deleu · Yoshua Bengio · Yarin Gal
Poster
Tue 14:00 A theory of continuous generative flow networks
Salem Lahlou · Tristan Deleu · Pablo Lemos · Dinghuai Zhang · Alexandra Volokhova · Alex Hernandez-Garcia · Lena Nehale Ezzine · Yoshua Bengio · Nikolay Malkin
Workshop
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Tristan Deleu · Mizu Nishikawa-Toomey · Jithendaraa Subramanian · Nikolay Malkin · Laurent Charlin · Yoshua Bengio
Workshop
Don't trust your eyes: on the (un)reliability of feature visualizations
Robert Geirhos · Roland S. Zimmermann · Blair Bilodeau · Wieland Brendel · Been Kim
Workshop
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora · Kartik Patwari · Syed Mahbub Hafiz · Zubair Shafiq · Chen-Nee Chuah
Poster
Thu 16:30 GFlowOut: Dropout with Generative Flow Networks
Dianbo Liu · Moksh Jain · Bonaventure F. P. Dossou · Qianli Shen · Salem Lahlou · Anirudh Goyal · Nikolay Malkin · Chris Emezue · Dinghuai Zhang · Nadhir Hassen · Xu Ji · Kenji Kawaguchi · Yoshua Bengio
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