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Author Information
Joey Bose (McGill/Mila)
I’m a PhD student at the RLLab at McGill/MILA where I work on Adversarial Machine Learning applied to different data domains, such as images, text, and graphs. Previously, I was a Master’s student at the University of Toronto where I researched crafting Adversarial Attacks on Computer Vision models using GAN’s. I also interned at Borealis AI where I was working on applying adversarial learning principles to learn better embeddings i.e. Word Embeddings for Machine Learning models.
Ariella Smofsky (McGill University and Mila)
MSc student at Mila. Interested broadly in the intersection of formal methods and Machine Learning. In particular I am interested in graph generation, code representation learning, active learning, latent variable modeling, and automata theory.
Renjie Liao (University of Toronto)
Prakash Panangaden (McGill University and Mila)
MSc IIT Kanpur (Physics), MS University of Chicago (Physics), PhD University of Wisconsin-Milwaukee (Physics), MS University of Utah (Computer Science), Asst. Prof. Computer Science, Cornell University; Professor McGill University. Fellow of the Royal Society of Canada.
Will Hamilton (McGill University and Mila)
More from the Same Authors
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2022 Poster: Matching Normalizing Flows and Probability Paths on Manifolds »
Heli Ben-Hamu · samuel cohen · Joey Bose · Brandon Amos · Maximilian Nickel · Aditya Grover · Ricky T. Q. Chen · Yaron Lipman -
2022 Spotlight: Matching Normalizing Flows and Probability Paths on Manifolds »
Heli Ben-Hamu · samuel cohen · Joey Bose · Brandon Amos · Maximilian Nickel · Aditya Grover · Ricky T. Q. Chen · Yaron Lipman -
2021 Poster: Directional Graph Networks »
Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso · Pietro Lió -
2021 Oral: Directional Graph Networks »
Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso · Pietro Lió -
2020 Workshop: Bridge Between Perception and Reasoning: Graph Neural Networks & Beyond »
Jian Tang · Le Song · Jure Leskovec · Renjie Liao · Yujia Li · Sanja Fidler · Richard Zemel · Ruslan Salakhutdinov -
2020 Workshop: Graph Representation Learning and Beyond (GRL+) »
Petar Veličković · Michael M. Bronstein · Andreea Deac · Will Hamilton · Jessica Hamrick · Milad Hashemi · Stefanie Jegelka · Jure Leskovec · Renjie Liao · Federico Monti · Yizhou Sun · Kevin Swersky · Rex (Zhitao) Ying · Marinka Zitnik -
2020 Poster: Inductive Relation Prediction by Subgraph Reasoning »
Komal Teru · Etienne Denis · Will Hamilton -
2019 : William L. Hamilton, McGill University »
Will Hamilton -
2019 Workshop: Learning and Reasoning with Graph-Structured Representations »
Ethan Fetaya · Zhiting Hu · Thomas Kipf · Yujia Li · Xiaodan Liang · Renjie Liao · Raquel Urtasun · Hao Wang · Max Welling · Eric Xing · Richard Zemel -
2019 Poster: Compositional Fairness Constraints for Graph Embeddings »
Avishek Bose · William Hamilton -
2019 Oral: Compositional Fairness Constraints for Graph Embeddings »
Avishek Bose · William Hamilton -
2018 Poster: Reviving and Improving Recurrent Back-Propagation »
Renjie Liao · Yuwen Xiong · Ethan Fetaya · Lisa Zhang · Kijung Yoon · Zachary S Pitkow · Raquel Urtasun · Richard Zemel -
2018 Oral: Reviving and Improving Recurrent Back-Propagation »
Renjie Liao · Yuwen Xiong · Ethan Fetaya · Lisa Zhang · Kijung Yoon · Zachary S Pitkow · Raquel Urtasun · Richard Zemel