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Poster Session 1 Paper Titles & Authors:
Deep Set Prediction Networks. Yan Zhang, Jonathon Hare, Adam Prügel-Bennett
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs. Joshua Payne
FSPool: Learning Set Representations with Featurewise Sort Pooling. Yan Zhang, Jonathon Hare, Adam Prügel-Bennett
Deep Learning Features Through Dictionary Learning with Improved Clustering for Image Classification. Shengda Luo, Alex Po Leung, Haici Zhang
Globally Optimal Model-based Clustering via Mixed Integer Nonlinear Programming. Patrick Flaherty, Pitchaya Wiratchotisatian, Andrew C. Trapp
Sliding Window Algorithms for k-Clustering Problems. Michele Borassi, Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitski, Morteza Zadimoghaddam
Optimized Recommendations When Customers Select Multiple Products. Prasoon Patidar, Deeksha Sinha, Theja Tulabandhula
Manipulating Person Videos with Natural Language. Levent Karacan, Mehmet Gunel, Aykut Erdem, Erkut Erdem
Permutation Invariance and Relational Reasoning in Multi-Object Tracking. Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, Ingmar Posner.
Clustering by Learning to Optimize Normalized Cuts. Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini
Deformable Filter Convolution for Point Cloud Reasoning. Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun
Learning Embeddings from Cancer Mutation Sets for Classification Tasks. Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John Cassidy, Harry W Clifford
Exchangeable Generative Models with Flow Scans. Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Manzil Zaheer, Junier Oliva
Conditional Invertible Flow for Point Cloud Generation. Stypulkowski Michal, Zamorski Maciej, Zieba Maciej, Chorowski Jan
Getting Topology and Point Cloud Generation to Mesh. Austin Dill, Chun-Liang Li, Songwei Ge, Eunsu Kang
Distributed Balanced Partitioning and Applications in Large-scale Load Balancing. Aaron Archer, Kevin Aydin, MohammadHossein Bateni, Vahab Mirrokni, Aaron Schild, Ray Yang, Richard Zhuang
Author Information
Yan Zhang (University of Southampton)
Samsung @ Mila is hiring research scientists in an academic-style lab :)
Jonathon Hare (University of Southampton)
Adam Prugel-Bennett (apb@ecs.soton.ac.uk)
Po Leung (Macau University of Science and Technology)
I am an assistant professor at the Faculty of Information Technology of the Macau University of Science and Technology. I was a quantitative analyst in finance at Sentient Technologies from 2013 to 2015. I got my PhD in 2008 under Shaogang Gong in the Vision Group of the Department of Computer Science at Queen Mary, University of London. After my PhD studies, I became a postdoctoral researcher in machine learning working with Peter Auer in Austria. I was born in Hong Kong. I studied Information Technology (BSc) at the Department of Electronic Engineering of the City University of Hong Kong and astrophysics for my MPhil to work with KS Cheng and CS Pun at the Department of Physics at the University of Hong Kong.
Patrick Flaherty (University of Massachusetts, Amherst)
Pitchaya Wiratchotisatian (Worcester Polytechnic Institute)
Alessandro Epasto (Google)

I am a staff research scientist at Google, New York working in the Google Research Algorithms and Optimization team lead by Vahab Mirrokni. I received a Ph.D in computer science from Sapienza University of Rome, where I was advised by Professor Alessandro Panconesi and supported by the Google Europe Ph.D. Fellowship in Algorithms, 2011. I was also a post-doc at the department of computer science of Brown University in Providence (RI), USA where I was advised by Professor Eli Upfal. My research interests include algorithmic problems in machine learning and data mining, in particular in the areas of clustering, privacy, and large scale graphs analysis.
Silvio Lattanzi (Google Research)
Sergei Vassilvitskii (Google)
Morteza Zadimoghaddam (Google Research)
Theja Tulabandhula (University of Illinois Chicago)
Theja is a researcher working in the areas of reinforcement, online and deep machine learning with applications to transportation, retail and other fields. He received his combined bachelors and masters degree in electrical engineering with honors from Indian Institute of Technology, Kharagpur, in 2009. There, he was awarded the Prime Minister of India Gold medal for getting the highest GPA among all dual degree students. He received his Ph.D. degree in 2014, in electrical engineering and computer science at the Massachusetts Institute of Technology (MIT), Cambridge. There, he was a Xerox-MIT fellow and a Science and Technology Fulbright scholar. Please visit http://www.theja.org/ for more information!
Fabian Fuchs (University of Oxford)

I am a Research Scientist at DeepMind and part of their Science team. After an undergrad in physics, I did my PhD at the Applied AI lab (A2I), supervised by Professor Ingmar Posner. In 2020, I did a research sabbatical at the BCAI collaborating with Max Welling’s lab at the University of Amsterdam.
Adam Kosiorek (University of Oxford)
Ingmar Posner (Oxford University)
William Hang (Stanford University)
Anna Goldie (Google Brain / Stanford)
Sujith Ravi (Google Research)
Azalia Mirhoseini (Google Brain)
Yuwen Xiong (Uber ATG / University of Toronto)
Mengye Ren (University of Toronto)
Renjie Liao (University of Toronto)
Raquel Urtasun (Uber ATG)
Haici Zhang (Macau University of Science and Technology)
Michele Borassi (Google Switzerland GmbH)
Shengda Luo (Macau University of Science and Technology)
Andrew Trapp (Worcester Polytechnic Institute)
Geoffroy Dubourg-Felonneau (Cambridge Cancer Genomics)
Yasmeen Kussad (Lancaster University)
I am a fresh MSc Data Science graduate with a concentration in unsupervised deep learning. I am interested in the social applications of the developing machine learning methods.
Christopher Bender (The University of North Carolina)
Manzil Zaheer (Google)
Junier Oliva (UNC - Chapel Hill)
Michał Stypułkowski (Tooploox Sp. z o.o.)
Maciej Zieba (Wroclaw University of Science and Technology, Tooploox)
Austin Dill (Carnegie Mellon University)
Chun-Liang Li (Carnegie Mellon University)
Songwei Ge (Carnegie Mellon University)
Eunsu Kang (Carnegie Mellon University)
Oiwi Parker Jones (University of Oxford)
Kelvin Ka Wing Wong (University of Toronto / Uber ATG)
Joshua Payne (Stanford University)
I'm an undergraduate studying Mathematical and Computational Science and Mathematics at Stanford University, as well as a research intern at IBM Research, where I received the prestigious Inventor Plateau for filing 4+ patents related to digital identity and deep learning on graphs. My academic interests include statistical learning for graphs and hypergraphs and quantum computing, and I'm currently considering Ph.D. programs in computer science.
Yang Li (UNC-Chapel Hill)
Azade Nazi (Google)
Erkut Erdem (Hacettepe University)
Aykut Erdem (Hacettepe University)
Kevin O'Connor (University of North Carolina, Chapel Hill)
PhD Student in Statistics at UNC Chapel Hill. My interests include optimal transport, machine learning methods for sets and statistical learning theory.
Juan J Garcia (University of North Carolina at Chapel Hill)
Maciej Zamorski (Wrocław University of Science and Technology / Tooploox)
Jan Chorowski (University of Wroclaw)
Deeksha Sinha (Massachusetts Institute of Technology)
Harry Clifford (Cambridge Cancer Genomics)
John W Cassidy (Cambridge Cancer Genomics)
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Sebastian Farquhar · Erik Daxberger · Andreas Look · Matt Benatan · Ruiyi Zhang · Marton Havasi · Fredrik Gustafsson · James A Brofos · Nabeel Seedat · Micha Livne · Ivan Ustyuzhaninov · Adam Cobb · Felix D McGregor · Patrick McClure · Tim R. Davidson · Gaurush Hiranandani · Sanjeev Arora · Masha Itkina · Didrik Nielsen · William Harvey · Matias Valdenegro-Toro · Stefano Peluchetti · Riccardo Moriconi · Tianyu Cui · Vaclav Smidl · Taylan Cemgil · Jack Fitzsimons · He Zhao · · mariana vargas vieyra · Apratim Bhattacharyya · Rahul Sharma · Geoffroy Dubourg-Felonneau · Jonathan Warrell · Slava Voloshynovskiy · Mihaela Rosca · Jiaming Song · Andrew Ross · Homa Fashandi · Ruiqi Gao · Hooshmand Shokri Razaghi · Joshua Chang · Zhenzhong Xiao · Vanessa Boehm · Giorgio Giannone · Ranganath Krishnan · Joe Davison · Arsenii Ashukha · Jeremiah Liu · Sicong (Sheldon) Huang · Evgenii Nikishin · Sunho Park · Nilesh Ahuja · Mahesh Subedar · · Artyom Gadetsky · Jhosimar Arias Figueroa · Tim G. J. Rudner · Waseem Aslam · Adrián Csiszárik · John Moberg · Ali Hebbal · Kathrin Grosse · Pekka Marttinen · Bang An · Hlynur Jónsson · Samuel Kessler · Abhishek Kumar · Mikhail Figurnov · Omesh Tickoo · Steindor Saemundsson · Ari Heljakka · Dániel Varga · Niklas Heim · Simone Rossi · Max Laves · Waseem Gharbieh · Nicholas Roberts · Luis Armando Pérez Rey · Matthew Willetts · Prithvijit Chakrabarty · Sumedh Ghaisas · Carl Shneider · Wray Buntine · Kamil Adamczewski · Xavier Gitiaux · Suwen Lin · Hao Fu · Gunnar Rätsch · Aidan Gomez · Erik Bodin · Dinh Phung · Lennart Svensson · Juliano Tusi Amaral Laganá Pinto · Milad Alizadeh · Jianzhun Du · Kevin Murphy · Beatrix Benkő · Shashaank Vattikuti · Jonathan Gordon · Christopher Kanan · Sontje Ihler · Darin Graham · Michael Teng · Louis Kirsch · Tomas Pevny · Taras Holotyak -
2019 : Poster Session »
Ahana Ghosh · Javad Shafiee · Akhilan Boopathy · Alex Tamkin · Theodoros Vasiloudis · Vedant Nanda · Ali Baheri · Paul Fieguth · Andrew Bennett · Guanya Shi · Hao Liu · Arushi Jain · Jacob Tyo · Benjie Wang · Boxiao Chen · Carroll Wainwright · Chandramouli Shama Sastry · Chao Tang · Daniel S. Brown · David Inouye · David Venuto · Dhruv Ramani · Dimitrios Diochnos · Divyam Madaan · Dmitrii Krashenikov · Joel Oren · Doyup Lee · Eleanor Quint · elmira amirloo · Matteo Pirotta · Gavin Hartnett · Geoffroy Dubourg-Felonneau · Gokul Swamy · Pin-Yu Chen · Ilija Bogunovic · Jason Carter · Javier Garcia-Barcos · Jeet Mohapatra · Jesse Zhang · Jian Qian · John Martin · Oliver Richter · Federico Zaiter · Tsui-Wei Weng · Karthik Abinav Sankararaman · Kyriakos Polymenakos · Lan Hoang · mahdieh abbasi · Marco Gallieri · Mathieu Seurin · Matteo Papini · Matteo Turchetta · Matthew Sotoudeh · Mehrdad Hosseinzadeh · Nathan Fulton · Masatoshi Uehara · Niranjani Prasad · Oana-Maria Camburu · Patrik Kolaric · Philipp Renz · Prateek Jaiswal · Reazul Hasan Russel · Riashat Islam · Rishabh Agarwal · Alexander Aldrick · Sachin Vernekar · Sahin Lale · Sai Kiran Narayanaswami · Samuel Daulton · Sanjam Garg · Sebastian East · Shun Zhang · Soheil Dsidbari · Justin Goodwin · Victoria Krakovna · Wenhao Luo · Wesley Chung · Yuanyuan Shi · Yuh-Shyang Wang · Hongwei Jin · Ziping Xu -
2019 Workshop: Graph Representation Learning »
Will Hamilton · Rianne van den Berg · Michael Bronstein · Stefanie Jegelka · Thomas Kipf · Jure Leskovec · Renjie Liao · Yizhou Sun · Petar Veličković -
2019 Poster: Differentially Private Covariance Estimation »
Kareem Amin · Travis Dick · Alex Kulesza · Andres Munoz Medina · Sergei Vassilvitskii -
2019 Poster: Stacked Capsule Autoencoders »
Adam Kosiorek · Sara Sabour · Yee Whye Teh · Geoffrey E Hinton -
2019 Poster: Learning Robust Global Representations by Penalizing Local Predictive Power »
Haohan Wang · Songwei Ge · Zachary Lipton · Eric Xing -
2019 Poster: Incremental Few-Shot Learning with Attention Attractor Networks »
Mengye Ren · Renjie Liao · Ethan Fetaya · Richard Zemel -
2019 Poster: Graph Agreement Models for Semi-Supervised Learning »
Otilia Stretcu · Krishnamurthy Viswanathan · Dana Movshovitz-Attias · Emmanouil Platanios · Sujith Ravi · Andrew Tomkins -
2019 Poster: Deep Set Prediction Networks »
Yan Zhang · Jonathon Hare · Adam Prugel-Bennett -
2019 Poster: Meta-Curvature »
Eunbyung Park · Junier Oliva -
2019 Poster: Efficient Graph Generation with Graph Recurrent Attention Networks »
Renjie Liao · Yujia Li · Yang Song · Shenlong Wang · Will Hamilton · David Duvenaud · Raquel Urtasun · Richard Zemel -
2018 : Invited Talk: Ingmar Posner, Oxford and Oxbotica »
Ingmar Posner -
2018 : Poster Session 1 »
Evan Casey · Colin A Raffel · Jonathan Simon · Juncheng Li · Robert Saunders · Petra Gemeinboeck · Eunsu Kang · Songwei Ge · Curtis Hawthorne · Anna Huang · Ting-Wei Su · Eric Chu · Memo Akten · Sonam Damani · Khyatti Gupta · Dilpreet Singh · Patrick Hutchings -
2018 : Lunch »
Hong Yu · Bhanu Pratap Singh Rawat · Arijit Ukil · Waheeda Saib · Jekaterina Novikova · John Hughes · Yuhui Zhang · Rahul V · Mi Jung Kim · Babak Taati · Hariharan Ravishankar · Harry Clifford · Hirofumi Kobayashi · Babak Taati · Keyang Xu · Yen-Chi Cheng · Timothy Cannings · Jayashree Kalpathy-Cramer · Jayashree Kalpathy-Cramer · Parinaz Sobhani · Kimis Perros · Wei-Hung Weng · Yordan Raykov · Lars Lorch · Mengqi Jin · Xue Teng · Michael Ferlaino · Marek Rei · Cédric Beaulac · Aman Verma · Sebastian Keller · Edmond Cunningham · Luc Evers · Victor Rodriguez · Vipul Satone · Dianbo Liu · Angeline Yasodhara · Geoff Tison · Ligin Solamen · Bryan He · Rahul Ladhania · Yipeng Shi · Md Nafiz Hamid · Pouria Mashouri · Woochan Hwang · Sejin Park · Xu Chen · Rachneet Kaur · Davis Blalock · Holly Wiberg · Parminder Bhatia · Kezi Yu · RUMENG LI · Jun Sakuma · Charles Ding · Aaron Babier · Yong Cai · A Pratap · Luke O'Connor · Allen Nie · Martin Kang · Ian Covert · Xun Wang · Zelun Luo · Serena Yeung · William Boag · Kazuki Tachikawa · Mary Saltz · Owen Lahav · Edward Lee · Eric Teasley · Michael Kamp · Nirmesh Patel · Vishwali Mhasawade · Maxim Samarin · Ryo Uchimido · Farzad Khalvati · Francisco Cruz · Laura Symul · Zaid Nabulsi · Mads Mihailescu · Rosalind Picard -
2018 : Poster Session I »
Aniruddh Raghu · Daniel Jarrett · Kathleen Lewis · Elias Chaibub Neto · Nicholas Mastronarde · Shazia Akbar · Chun-Hung Chao · Henghui Zhu · Seth Stafford · Luna Zhang · Jen-Tang Lu · Changhee Lee · Adityanarayanan Radhakrishnan · Fabian Falck · Liyue Shen · Daniel Neil · Yusuf Roohani · Aparna Balagopalan · Brett Marinelli · Hagai Rossman · Sven Giesselbach · Jose Javier Gonzalez Ortiz · Edward De Brouwer · Byung-Hoon Kim · Rafid Mahmood · Tzu Ming Hsu · Antonio Ribeiro · Rumi Chunara · Agni Orfanoudaki · Kristen Severson · Mingjie Mai · Sonali Parbhoo · Albert Haque · Viraj Prabhu · Di Jin · Alena Harley · Geoffroy Dubourg-Felonneau · Xiaodan Hu · Maithra Raghu · Jonathan Warrell · Nelson Johansen · Wenyuan Li · Marko Järvenpää · Satya Narayan Shukla · Sarah Tan · Vincent Fortuin · Beau Norgeot · Yi-Te Hsu · Joel H Saltz · Veronica Tozzo · Andrew Miller · Guillaume Ausset · Azin Asgarian · Francesco Paolo Casale · Antoine Neuraz · Bhanu Pratap Singh Rawat · Turgay Ayer · Xinyu Li · Mehul Motani · Nathaniel Braman · Laetitia M Shao · Adrian Dalca · Hyunkwang Lee · Emma Pierson · Sandesh Ghimire · Yuji Kawai · Owen Lahav · Anna Goldenberg · Denny Wu · Pavitra Krishnaswamy · Colin Pawlowski · Arijit Ukil · Yuhui Zhang -
2018 : Incremental Few-Shot Learning with Attention Attractor Networks »
Mengye Ren -
2018 : Ingmar Posner »
Ingmar Posner -
2018 : Coffee Break 1 (Posters) »
Ananya Kumar · Siyu Huang · Huazhe Xu · Michael Janner · Parth Chadha · Nils Thuerey · Peter Lu · Maria Bauza · Anthony Tompkins · Guanya Shi · Thomas Baumeister · André Ofner · Zhi-Qi Cheng · Yuping Luo · Deepika Bablani · Jeroen Vanbaar · Kartic Subr · Tatiana López-Guevara · Devesh Jha · Fabian Fuchs · Stefano Rosa · Alison Pouplin · Alex Ray · Qi Liu · Eric Crawford -
2018 Poster: Compact Representation of Uncertainty in Clustering »
Craig Greenberg · Nicholas Monath · Ari Kobren · Patrick Flaherty · Andrew McGregor · Andrew McCallum -
2018 Poster: Nonparametric Density Estimation under Adversarial Losses »
Shashank Singh · Ananya Uppal · Boyue Li · Chun-Liang Li · Manzil Zaheer · Barnabas Poczos -
2018 Poster: Mallows Models for Top-k Lists »
Flavio Chierichetti · Anirban Dasgupta · Shahrzad Haddadan · Ravi Kumar · Silvio Lattanzi -
2018 Poster: Maximizing Induced Cardinality Under a Determinantal Point Process »
Jennifer Gillenwater · Alex Kulesza · Sergei Vassilvitskii · Zelda Mariet -
2018 Poster: Adaptive Methods for Nonconvex Optimization »
Manzil Zaheer · Sashank Reddi · Devendra S Sachan · Satyen Kale · Sanjiv Kumar -
2018 Poster: Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects »
Adam Kosiorek · Hyunjik Kim · Yee Whye Teh · Ingmar Posner -
2018 Spotlight: Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects »
Adam Kosiorek · Hyunjik Kim · Yee Whye Teh · Ingmar Posner -
2018 Poster: BinGAN: Learning Compact Binary Descriptors with a Regularized GAN »
Maciej Zieba · Piotr Semberecki · Tarek El-Gaaly · Tomasz Trzcinski -
2018 Poster: Neural Guided Constraint Logic Programming for Program Synthesis »
Lisa Zhang · Gregory Rosenblatt · Ethan Fetaya · Renjie Liao · William Byrd · Matthew Might · Raquel Urtasun · Richard Zemel -
2017 : Poster Session (encompasses coffee break) »
Beidi Chen · Borja Balle · Daniel Lee · iuri frosio · Jitendra Malik · Jan Kautz · Ke Li · Masashi Sugiyama · Miguel A. Carreira-Perpinan · Ramin Raziperchikolaei · Theja Tulabandhula · Yung-Kyun Noh · Adams Wei Yu -
2017 Workshop: Acting and Interacting in the Real World: Challenges in Robot Learning »
Ingmar Posner · Raia Hadsell · Martin Riedmiller · Markus Wulfmeier · Rohan Paul -
2017 Oral: Deep Sets »
Manzil Zaheer · Satwik Kottur · Siamak Ravanbakhsh · Barnabas Poczos · Ruslan Salakhutdinov · Alexander Smola -
2017 Poster: Revenue Optimization with Approximate Bid Predictions »
Andres Munoz Medina · Sergei Vassilvitskii -
2017 Poster: MMD GAN: Towards Deeper Understanding of Moment Matching Network »
Chun-Liang Li · Wei-Cheng Chang · Yu Cheng · Yiming Yang · Barnabas Poczos -
2017 Poster: Deep Sets »
Manzil Zaheer · Satwik Kottur · Siamak Ravanbakhsh · Barnabas Poczos · Ruslan Salakhutdinov · Alexander Smola -
2017 Poster: Fair Clustering Through Fairlets »
Flavio Chierichetti · Ravi Kumar · Silvio Lattanzi · Sergei Vassilvitskii -
2017 Spotlight: Fair Clustering Through Fairlets »
Flavio Chierichetti · Ravi Kumar · Silvio Lattanzi · Sergei Vassilvitskii -
2017 Poster: Hierarchical Attentive Recurrent Tracking »
Adam Kosiorek · Alex Bewley · Ingmar Posner -
2017 Poster: Statistical Cost Sharing »
Eric Balkanski · Umar Syed · Sergei Vassilvitskii -
2017 Poster: Affinity Clustering: Hierarchical Clustering at Scale »
Mohammadhossein Bateni · Soheil Behnezhad · Mahsa Derakhshan · MohammadTaghi Hajiaghayi · Raimondas Kiveris · Silvio Lattanzi · Vahab Mirrokni -
2017 Poster: The Reversible Residual Network: Backpropagation Without Storing Activations »
Aidan Gomez · Mengye Ren · Raquel Urtasun · Roger Grosse -
2016 Poster: On Mixtures of Markov Chains »
Rishi Gupta · Ravi Kumar · Sergei Vassilvitskii -
2016 Poster: Fast Distributed Submodular Cover: Public-Private Data Summarization »
Baharan Mirzasoleiman · Morteza Zadimoghaddam · Amin Karbasi -
2016 Poster: Community Detection on Evolving Graphs »
Stefano Leonardi · Aris Anagnostopoulos · Jakub Łącki · Silvio Lattanzi · Mohammad Mahdian -
2015 Poster: Attention-Based Models for Speech Recognition »
Jan K Chorowski · Dzmitry Bahdanau · Dmitriy Serdyuk · Kyunghyun Cho · Yoshua Bengio -
2015 Spotlight: Attention-Based Models for Speech Recognition »
Jan K Chorowski · Dzmitry Bahdanau · Dmitriy Serdyuk · Kyunghyun Cho · Yoshua Bengio -
2015 Poster: Exploring Models and Data for Image Question Answering »
Mengye Ren · Jamie Kiros · Richard Zemel -
2014 Poster: Distributed Balanced Clustering via Mapping Coresets »
Mohammadhossein Bateni · Aditya Bhaskara · Silvio Lattanzi · Vahab Mirrokni