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Author Information
Adarsh Jamadandi (KLE Technological University)
Masters student in Computer Science at the Saarland University. Research interests include Graph Representation Learning and Deep Learning.
Sophia Sanborn (UC Berkeley)
Huaxiu Yao (Pennsylvania State University)
Chen Cai (Ohio State Univesity)
Yu Chen (Rensselaer Polytechnic Institute)
I am a fifth year PhD student in the Computer Science Department of Rensselaer Polytechnic Institute. My advisor is Prof. Mohammed J. Zaki. I have broad research interests in Machine Learning, Data Mining and their applications in Natural Language Processing.
Jean-Marc Andreoli (Naverlabs Europe)
Niklas Stoehr (University College London)
Shih-Yang Su (Virginia Tech)
https://lemonatsu.github.io/files/Shih-Yang_Su_CV.pdf
Tony Duan (Stanford)
Fábio Ferreira (Karlsruhe Institute of Technology (KIT), Stanford University)
Davide Belli (University of Amsterdam / Qualcomm AI)
linkedin.com/in/davide-belli-uva/ twitter.com/davide__belli github.com/davide-belli
Amit Boyarski (Technion, Israel Institute of Technology)
Ze Ye (Stony Brook University)
Elahe Ghalebi (TU Wien)
Arindam Sarkar (Amazon India)
Applied Scientist in Amazon India ML team. I work on problems in ranking and recommendation.
MAHMOUD KHADEMI (Simon Fraser University)
Evgeniy Faerman (Ludwig Maximilian University of Munich)
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.
Jiaqi Ma (University of Michigan)
Lin Meng (Florida State University)
Seyed Mehran Kazemi (University of British Columbia)
Guangtao Wang (JD.Com)
Tong Wu (University of Minnesota)
Yuexin Wu (Carnegie Mellon University)
Chaitanya K. Joshi (Nanyang Technological University)
Marc Brockschmidt (Microsoft Research)
Daniele Zambon (Università della Svizzera italiana)
Colin Graber (University of Illinois at Urbana-Champaign)
Rafaël Van Belle (KU Leuven)
Osman Asif Malik (University of Colorado Boulder)
Xavier Glorot (DeepMind)
Mario Krenn (Department of Chemistry, University of Toronto)
Chris Cameron (University of British Columbia)
Binxuan Huang (Carnegie Mellon University)
George Stoica (Carnegie Mellon University)
Alexia Toumpa (University of Leeds)
More from the Same Authors
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2020 : Poster #14 »
George Stoica -
2020 : Poster #15 »
George Stoica -
2021 Spotlight: Subgroup Generalization and Fairness of Graph Neural Networks »
Jiaqi Ma · Junwei Deng · Qiaozhu Mei -
2021 : FS-Mol: A Few-Shot Learning Dataset of Molecules »
Megan Stanley · John Bronskill · Krzysztof Maziarz · Hubert Misztela · Jessica Lanini · Marwin Segler · Nadine Schneider · Marc Brockschmidt -
2022 : Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time »
Caroline Choi · Huaxiu Yao · Yoonho Lee · Pang Wei Koh · Chelsea Finn -
2022 : Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations »
Huaxiu Yao · Xinyu Yang · Allan Zhou · Chelsea Finn -
2022 : Surgical Fine-Tuning Improves Adaptation to Distribution Shifts »
Yoonho Lee · Annie Chen · Fahim Tajwar · Ananya Kumar · Huaxiu Yao · Percy Liang · Chelsea Finn -
2022 : Relational Out-of-Distribution Generalization »
Xinyu Yang · Xinyi Pan · Shengchao Liu · Huaxiu Yao -
2022 : On the Expressive Power of Geometric Graph Neural Networks »
Cristian Bodnar · Chaitanya K. Joshi · Simon Mathis · Taco Cohen · Pietro Liò -
2022 : Recommendation for New Drugs with Limited Prescription Data »
Zhenbang Wu · Huaxiu Yao · Zhe Su · David Liebovitz · Lucas Glass · James Zou · Chelsea Finn · Jimeng Sun -
2022 : Surgical Fine-Tuning Improves Adaptation to Distribution Shifts »
Yoonho Lee · Annie Chen · Fahim Tajwar · Ananya Kumar · Huaxiu Yao · Percy Liang · Chelsea Finn -
2023 Workshop: Symmetry and Geometry in Neural Representations »
Sophia Sanborn · Christian A Shewmake · Simone Azeglio · Nina Miolane -
2023 Workshop: Regulatable ML: Towards Bridging the Gaps between Machine Learning Research and Regulations »
Jiaqi Ma · Danielle Belgrave · P-R Stark · Daniele Magazzeni · Himabindu Lakkaraju -
2022 : On the Expressive Power of Geometric Graph Neural Networks »
Cristian Bodnar · Chaitanya K. Joshi · Simon Mathis · Taco Cohen · Pietro Liò -
2022 Workshop: Symmetry and Geometry in Neural Representations (NeurReps) »
Sophia Sanborn · Christian A Shewmake · Simone Azeglio · Arianna Di Bernardo · Nina Miolane -
2022 : Opening Remarks »
Sophia Sanborn -
2022 Workshop: NeurIPS 2022 Workshop on Meta-Learning »
Huaxiu Yao · Eleni Triantafillou · Fabio Ferreira · Joaquin Vanschoren · Qi Lei -
2022 Poster: Riemannian Diffusion Models »
Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville -
2022 Poster: GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy »
Yemin Yu · Ying Wei · Kun Kuang · Zhengxing Huang · Huaxiu Yao · Fei Wu -
2022 Poster: Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time »
Huaxiu Yao · Caroline Choi · Bochuan Cao · Yoonho Lee · Pang Wei Koh · Chelsea Finn -
2022 Poster: C-Mixup: Improving Generalization in Regression »
Huaxiu Yao · Yiping Wang · Linjun Zhang · James Zou · Chelsea Finn -
2022 Poster: AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs »
Daniele Zambon · Cesare Alippi -
2021 Workshop: 5th Workshop on Meta-Learning »
Erin Grant · Fábio Ferreira · Frank Hutter · Jonathan Richard Schwarz · Joaquin Vanschoren · Huaxiu Yao -
2021 Poster: Self-Supervised Bug Detection and Repair »
Miltiadis Allamanis · Henry Jackson-Flux · Marc Brockschmidt -
2021 Poster: Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery »
Huaxiu Yao · Ying Wei · Long-Kai Huang · Ding Xue · Junzhou Huang · Zhenhui (Jessie) Li -
2021 : Machine Learning for Combinatorial Optimization + Q&A »
Maxime Gasse · Simon Bowly · Chris Cameron · Quentin Cappart · Jonas Charfreitag · Laurent Charlin · Shipra Agrawal · Didier Chetelat · Justin Dumouchelle · Ambros Gleixner · Aleksandr Kazachkov · Elias Khalil · Pawel Lichocki · Andrea Lodi · Miles Lubin · Christopher Morris · Dimitri Papageorgiou · Augustin Parjadis · Sebastian Pokutta · Antoine Prouvost · Yuandong Tian · Lara Scavuzzo · Giulia Zarpellon -
2021 Poster: Meta-learning with an Adaptive Task Scheduler »
Huaxiu Yao · Yu Wang · Ying Wei · Peilin Zhao · Mehrdad Mahdavi · Defu Lian · Chelsea Finn -
2021 Poster: Subgroup Generalization and Fairness of Graph Neural Networks »
Jiaqi Ma · Junwei Deng · Qiaozhu Mei -
2020 : Focused Breakout Session »
Ines Chami · Joey Bose -
2020 : Panel Discussion »
Joey Bose · Emile Mathieu · Charline Le Lan · Ines Chami -
2020 : Poster Session 1 on Gather.Town »
Joey Bose · Ines Chami -
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: Towards More Practical Adversarial Attacks on Graph Neural Networks »
Jiaqi Ma · Shuangrui Ding · Qiaozhu Mei -
2020 Poster: Online Structured Meta-learning »
Huaxiu Yao · Yingbo Zhou · Mehrdad Mahdavi · Zhenhui (Jessie) Li · Richard Socher · Caiming Xiong -
2020 Poster: Adversarial Example Games »
Joey Bose · Gauthier Gidel · Hugo Berard · Andre Cianflone · Pascal Vincent · Simon Lacoste-Julien · Will Hamilton -
2019 : Poster Session »
Pravish Sainath · Mohamed Akrout · Charles Delahunt · Nathan Kutz · Guangyu Robert Yang · Joseph Marino · L F Abbott · Nicolas Vecoven · Damien Ernst · andrew warrington · Michael Kagan · Kyunghyun Cho · Kameron Harris · Leopold Grinberg · John J. Hopfield · Dmitry Krotov · Taliah Muhammad · Erick Cobos · Edgar Walker · Jacob Reimer · Andreas Tolias · Alexander Ecker · Janaki Sheth · Yu Zhang · Maciej Wołczyk · Jacek Tabor · Szymon Maszke · Roman Pogodin · Dane Corneil · Wulfram Gerstner · Baihan Lin · Guillermo Cecchi · Jenna M Reinen · Irina Rish · Guillaume Bellec · Darjan Salaj · Anand Subramoney · Wolfgang Maass · Yueqi Wang · Ari Pakman · Jin Hyung Lee · Liam Paninski · Bryan Tripp · Colin Graber · Alex Schwing · Luke Prince · Gabriel Ocker · Michael Buice · Benjamin Lansdell · Konrad Kording · Jack Lindsey · Terrence Sejnowski · Matthew Farrell · Eric Shea-Brown · Nicolas Farrugia · Victor Nepveu · Jiwoong Im · Kristin Branson · Brian Hu · Ramakrishnan Iyer · Stefan Mihalas · Sneha Aenugu · Hananel Hazan · Sihui Dai · Tan Nguyen · Doris Tsao · Richard Baraniuk · Anima Anandkumar · Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli · Dean Pospisil · Eilif Muller · Jeffrey S Cheng · Gaël Varoquaux · Kamalaker Dadi · Dimitrios C Gklezakos · Rajesh PN Rao · Anand Louis · Christos Papadimitriou · Santosh Vempala · Naganand Yadati · Daniel Zdeblick · Daniela M Witten · Nicholas Roberts · Vinay Prabhu · Pierre Bellec · Poornima Ramesh · Jakob H Macke · Santiago Cadena · Guillaume Bellec · Franz Scherr · Owen Marschall · Robert Kim · Hannes Rapp · Marcio Fonseca · Oliver Armitage · Jiwoong Im · Thomas Hardcastle · Abhishek Sharma · Wyeth Bair · Adrian Valente · Shane Shang · Merav Stern · Rutuja Patil · Peter Wang · Sruthi Gorantla · Peter Stratton · Tristan Edwards · Jialin Lu · Martin Ester · Yurii Vlasov · Siavash Golkar -
2019 : Poster Session »
Matthia Sabatelli · Adam Stooke · Amir Abdi · Paulo Rauber · Leonard Adolphs · Ian Osband · Hardik Meisheri · Karol Kurach · Johannes Ackermann · Matt Benatan · GUO ZHANG · Chen Tessler · Dinghan Shen · Mikayel Samvelyan · Riashat Islam · Murtaza Dalal · Luke Harries · Andrey Kurenkov · Konrad Żołna · Sudeep Dasari · Kristian Hartikainen · Ofir Nachum · Kimin Lee · Markus Holzleitner · Vu Nguyen · Francis Song · Christopher Grimm · Felipe Leno da Silva · Yuping Luo · Yifan Wu · Alex Lee · Thomas Paine · Wei-Yang Qu · Daniel Graves · Yannis Flet-Berliac · Yunhao Tang · Suraj Nair · Matthew Hausknecht · Akhil Bagaria · Simon Schmitt · Bowen Baker · Paavo Parmas · Benjamin Eysenbach · Lisa Lee · Siyu Lin · Daniel Seita · Abhishek Gupta · Riley Simmons-Edler · Yijie Guo · Kevin Corder · Vikash Kumar · Scott Fujimoto · Adam Lerer · Ignasi Clavera Gilaberte · Nicholas Rhinehart · Ashvin Nair · Ge Yang · Lingxiao Wang · Sungryull Sohn · J. Fernando Hernandez-Garcia · Xian Yeow Lee · Rupesh Srivastava · Khimya Khetarpal · Chenjun Xiao · Luckeciano Carvalho Melo · Rishabh Agarwal · Tianhe Yu · Glen Berseth · Devendra Singh Chaplot · Jie Tang · Anirudh Srinivasan · Tharun Kumar Reddy Medini · Aaron Havens · Misha Laskin · Asier Mujika · Rohan Saphal · Joseph Marino · Alex Ray · Joshua Achiam · Ajay Mandlekar · Zhuang Liu · Danijar Hafner · Zhiwen Tang · Ted Xiao · Michael Walton · Jeff Druce · Ferran Alet · Zhang-Wei Hong · Stephanie Chan · Anusha Nagabandi · Hao Liu · Hao Sun · Ge Liu · Dinesh Jayaraman · John Co-Reyes · Sophia Sanborn -
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 : Q&A from the Audience. Ask the Grad Students »
Erin Grant · Ruairidh Battleday · Sophia Sanborn · Nadine Chang · Nikhil Parthasarathy -
2019 : Posters »
Colin Graber · Yuan-Ting Hu · Tiantian Fang · Jessica Hamrick · Giorgio Giannone · John Co-Reyes · Boyang Deng · Eric Crawford · Andrea Dittadi · Peter Karkus · Matthew Dirks · Rakshit Trivedi · Sunny Raj · Javier Felip Leon · Harris Chan · Jan Chorowski · Jeff Orchard · Aleksandar Stanić · Adam Kortylewski · Ben Zinberg · Chenghui Zhou · Wei Sun · Vikash Mansinghka · Chun-Liang Li · Marco Cusumano-Towner -
2019 Poster: Graph Structured Prediction Energy Networks »
Colin Graber · Alex Schwing -
2019 Poster: Program Synthesis and Semantic Parsing with Learned Code Idioms »
Richard Shin · Miltiadis Allamanis · Marc Brockschmidt · Oleksandr Polozov -
2019 Poster: A Flexible Generative Framework for Graph-based Semi-supervised Learning »
Jiaqi Ma · Weijing Tang · Ji Zhu · Qiaozhu Mei -
2018 Poster: SimplE Embedding for Link Prediction in Knowledge Graphs »
Seyed Mehran Kazemi · David Poole -
2018 Poster: Constrained Graph Variational Autoencoders for Molecule Design »
Qi Liu · Miltiadis Allamanis · Marc Brockschmidt · Alexander Gaunt -
2018 Poster: Deep Structured Prediction with Nonlinear Output Transformations »
Colin Graber · Ofer Meshi · Alex Schwing -
2018 Poster: Dynamic Network Model from Partial Observations »
Elahe Ghalebi · Baharan Mirzasoleiman · Radu Grosu · Jure Leskovec -
2018 Spotlight: Dynamic Network Model from Partial Observations »
Elahe Ghalebi · Baharan Mirzasoleiman · Radu Grosu · Jure Leskovec -
2018 Poster: Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch »
Osman Asif Malik · Stephen Becker -
2017 : One Minute Poster Spotlight »
Tiancheng Zhao · Chandra khatri · Chaitanya K. Joshi · Maryam Fazel-Zarandi · Arpit Gupta · Shang-Wen Li · Amanda Cercas Curry · Behnam Hedayatnia · Li Zhou · Anushree Venkatesh · Fei Mi · Ming Cheng -
2016 Poster: New Liftable Classes for First-Order Probabilistic Inference »
Seyed Mehran Kazemi · Angelika Kimmig · Guy Van den Broeck · David Poole -
2016 Poster: Review Networks for Caption Generation »
Zhilin Yang · Ye Yuan · Yuexin Wu · William Cohen · Russ Salakhutdinov