Timezone: »
Panel Discussion
Joey Bose · Emile Mathieu · Charline Le Lan · Ines Chami
Author Information
Joey Bose (McGill/MILA)
I’m a PhD student at the RLLab at McGill/MILA where I work on Adversarial Machine Learning on 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.
Emile Mathieu (University of Oxford)
Charline Le Lan (University of Oxford)
Ines Chami (Stanford University)
More from the Same Authors
-
2022 : Spectral Diffusion Processes »
Angus Phillips · Thomas Seror · Michael Hutchinson · Valentin De Bortoli · Arnaud Doucet · Emile Mathieu -
2023 Poster: Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples »
Marco Jiralerspong · Joey Bose · Ian Gemp · Chongli Qin · Yoram Bachrach · Gauthier Gidel -
2023 Poster: Metropolis Sampling for Constrained Diffusion Models »
Nic Fishman · Leo Klarner · Emile Mathieu · Michael Hutchinson · Valentin De Bortoli -
2023 Poster: EDGI: Equivariant Diffusion for Planning with Embodied Agents »
Johann Brehmer · Joey Bose · Pim de Haan · Taco Cohen -
2023 Poster: Geometric Neural Diffusion Processes »
Emile Mathieu · Vincent Dutordoir · Michael Hutchinson · Valentin De Bortoli · Yee Whye Teh · Richard Turner -
2023 Poster: SE(3) Equivariant Augmented Coupling Flows »
Laurence Midgley · Vincent Stimper · Javier Antorán · Emile Mathieu · Bernhard Schölkopf · José Miguel Hernández-Lobato -
2022 Spotlight: Machine Learning on Graphs: A Model and Comprehensive Taxonomy »
Ines Chami · Sami Abu-El-Haija · Bryan Perozzi · Christopher Ré · Kevin Murphy -
2022 Poster: Riemannian Diffusion Models »
Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville -
2022 Poster: Riemannian Score-Based Generative Modelling »
Valentin De Bortoli · Emile Mathieu · Michael Hutchinson · James Thornton · Yee Whye Teh · Arnaud Doucet -
2022 Poster: Machine Learning on Graphs: A Model and Comprehensive Taxonomy »
Ines Chami · Sami Abu-El-Haija · Bryan Perozzi · Christopher Ré · Kevin Murphy -
2021 Poster: On Contrastive Representations of Stochastic Processes »
Emile Mathieu · Adam Foster · Yee Teh -
2020 : Charline Le Lan---Perfect density models cannot guarantee anomaly detection »
Charline Le Lan -
2020 : Poster Session 2 on Gather.Town »
Charline Le Lan · Emile Mathieu -
2020 : Focused Breakout Session »
Ines Chami · Joey Bose -
2020 : Poster Session 1 on Gather.Town »
Joey Bose · Ines Chami -
2020 : Tree Covers: An Alternative to Metric Embeddings »
Roshni Sahoo · Ines Chami · Christopher Ré -
2020 Workshop: Differential Geometry meets Deep Learning (DiffGeo4DL) »
Joey Bose · Emile Mathieu · Charline Le Lan · Ines Chami · Frederic Sala · Christopher De Sa · Maximilian Nickel · Christopher Ré · Will Hamilton -
2020 : Opening Remarks »
Joey Bose -
2020 Poster: Riemannian Continuous Normalizing Flows »
Emile Mathieu · Maximilian Nickel -
2020 Poster: Adversarial Example Games »
Joey Bose · Gauthier Gidel · Hugo Berard · Andre Cianflone · Pascal Vincent · Simon Lacoste-Julien · Will Hamilton -
2020 Poster: From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering »
Ines Chami · Albert Gu · Vaggos Chatziafratis · Christopher Ré -
2019 : Poster Session #2 »
Yunzhu Li · Peter Meltzer · Jianing Sun · Guillaume SALHA · Marin Vlastelica Pogančić · Chia-Cheng Liu · Fabrizio Frasca · Marc-Alexandre Côté · Vikas Verma · Abdulkadir CELIKKANAT · Pierluca D'Oro · Priyesh Vijayan · Maria Schuld · Petar Veličković · Kshitij Tayal · Yulong Pei · Hao Xu · Lei Chen · Pengyu Cheng · Ines Chami · Dongkwan Kim · Guilherme Gomes · Lukasz Maziarka · Jessica Hoffmann · Ron Levie · Antonia Gogoglou · Shunwang Gong · Federico Monti · Wenlin Wang · Yan Leng · Salvatore Vivona · Daniel Flam-Shepherd · Chester Holtz · Li Zhang · MAHMOUD KHADEMI · I-Chung Hsieh · Aleksandar Stanić · Ziqiao Meng · Yuhang Jiao -
2019 : Poster Session #1 »
Adarsh Jamadandi · Sophia Sanborn · Huaxiu Yao · Chen Cai · Yu Chen · Jean-Marc Andreoli · Niklas Stoehr · Shih-Yang Su · Tony Duan · Fábio Ferreira · Davide Belli · Amit Boyarski · Ze Ye · Elahe Ghalebi · Arindam Sarkar · MAHMOUD KHADEMI · Evgeniy Faerman · Joey Bose · Jiaqi Ma · Lin Meng · Seyed Mehran Kazemi · Guangtao Wang · Tong Wu · Yuexin Wu · Chaitanya K. Joshi · Marc Brockschmidt · Daniele Zambon · Colin Graber · Rafaël Van Belle · Osman Asif Malik · Xavier Glorot · Mario Krenn · Chris Cameron · Binxuan Huang · George Stoica · Alexia Toumpa -
2019 Poster: Hyperbolic Graph Convolutional Neural Networks »
Ines Chami · Zhitao Ying · Christopher Ré · Jure Leskovec -
2019 Poster: Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders »
Emile Mathieu · Charline Le Lan · Chris Maddison · Ryota Tomioka · Yee Whye Teh