Timezone: »
Author Information
Haytham Fayek (Facebook Research)
German Parisi (University of Hamburg)
Brian Xu (MIT)
Pramod Kaushik Mudrakarta (The University of Chicago)
Sophie Cerf (Univ Grenoble Alps)
###### Current Job: Internship @ IBM Zurich From July to November 2018 I am working at IBM Research Center with Dr. Christoph Hagleitner and Dr. Lydia Y. Chen on a Cognitive Appliance research project. My research work focuses on using Continual Active Learning to cope with Noise in Machine Learning. ###### PhD @ Univ Grenoble Alps, France I am a PhD student (Oct. 2015 - now) working on the application of Control Theory for Computing Systems. I use the mathematical framework provided by control theory in order to improve performance, reliability and security of computing systems. I focus my research on two different applications : 1) automatic configuration of Location Privacy Protection Mechanisms to guarantee privacy and utility objectives and 2) performance and availability guarantee in Big Data cloud services. Both applications are developed and validated on real-life experimental facilities. I work under the supervision of Pr. Nicolas Marchand , Dr. Bogdan Robu from Gipsa-Lab, Grenoble and Pr. Sara Bouchenak from DRIM research team, LIRIS, INSA-Lyon. My work is supported by the European FP7 research project AMADEOS on Systems of Systems, the project HPES from the LabEx PERSIVAL-lab and the MobiCampus-UdL project from the LabEx IMU.
Sarah Wassermann (INRIA Paris)
Davit Soselia (San Diego State University)
Rahaf Aljundi (KU LEUVEN)
Mohamed Elhoseiny (Facebook AI Research (FAIR))
Frantzeska Lavda (University of Geneva & HEG)
Kevin J Liang (Duke University)
Arslan Chaudhry (University of Oxford)
Sanmit Narvekar (University of Texas at Austin)
Vincenzo Lomonaco (University of Bologna)
Wesley Chung (University of Alberta)
Michael Chang (University of California, Berkeley)
Ph.D. student at Berkeley AI Research, U.C. Berkeley B.S. in Computer Science from MIT Former research intern under Juergen Schmidhuber, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA) Former undergraduate researcher under Joshua Tenenbaum and Antonio Torralba, MIT
Ying Zhao (Naval Postgraduate School)
Zsolt Kira (Georgia Institute of Techology)
Pouya Bashivan (MIT)
Banafsheh Rafiee (University of Alberta)
Oleksiy Ostapenko (SAP SE)
Andrew Jones (James Madison University)
Christos Kaplanis (Imperial College London)
Sinan Kalkan (Middle East Technical University)
Dan Teng (Neuri Pte Ltd)
I graduated with a PhD in mathematics from National University of Singapore. Now I am working as a research scientist at Neuri, a Fintech startup that focuses on developing robust and stable AI driven simulation and modeling tools to support trading strategies across multiple markets and asset classes.
Xu He (Jacobs University Bremen)
Vincent Liu (University of Alberta)
Somjit Nath (University of Alberta)
Sungsoo Ahn (KAIST)
Ting Chen (University of California, Los Angeles)
Shenyang Huang (McGill University)
Yash Chandak (University of Massachusetts Amherst)
Nathan Sprague (James Madison University)
Martin Schrimpf (MIT)
Tony Kendall (NPS)
Jonathan Richard Schwarz (DeepMind)
Michael Li (Massachusetts Institute of Technology)
Yunshu Du (Washington State University)
Yen-Chang Hsu (Georgia Institute of Technology)
Samira Abnar (University of Amsterdam)
Bo Wang (Vector Institute)
More from the Same Authors
-
2021 : ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation »
Chuang Gan · Jeremy Schwartz · Seth Alter · Damian Mrowca · Martin Schrimpf · James Traer · Julian De Freitas · Jonas Kubilius · Abhishek Bhandwaldar · Nick Haber · Megumi Sano · Kuno Kim · Elias Wang · Michael Lingelbach · Aidan Curtis · Kevin Feigelis · Daniel Bear · Dan Gutfreund · David Cox · Antonio Torralba · James J DiCarlo · Josh Tenenbaum · Josh McDermott · Dan Yamins -
2021 Spotlight: Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra -
2021 Spotlight: A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition »
Junjiao Tian · Dylan Yung · Yen-Chang Hsu · Zsolt Kira -
2021 : Exploring Covariate and Concept Shift for Out-of-Distribution Detection »
Junjiao Tian · Yen-Chang Hsu · Yilin Shen · Hongxia Jin · Zsolt Kira -
2022 : Optimization using Parallel Gradient Evaluations on Multiple Parameters »
Yash Chandak · Shiv Shankar · Venkata Gandikota · Philip Thomas · Arya Mazumdar -
2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang -
2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang -
2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang -
2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang -
2022 : Fifteen-minute Competition Overview Video »
Dhruv Batra · Manolis Savva · Zsolt Kira · Vincent-Pierre Berges · Karmesh Yadav · Angel Chang · Andrew Szot · Alexander Clegg · Aaron Gokaslan -
2022 : Primate Inferotemporal Cortex Neurons Generalize Better to Novel Image Distributions Than Analogous Deep Neural Networks Units »
Marliawaty I Gusti Bagus · Tiago Marques · Sachi Sanghavi · James J DiCarlo · Martin Schrimpf -
2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang -
2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang -
2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang -
2022 : On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition »
Farrukh Rahman · Ömer Mubarek · Zsolt Kira -
2022 Competition: Habitat Rearrangement Challenge »
Andrew Szot · Karmesh Yadav · Alexander Clegg · Vincent-Pierre Berges · Aaron Gokaslan · Angel Chang · Manolis Savva · Zsolt Kira · Dhruv Batra -
2022 : Panel »
Tyler Hayes · Tinne Tuytelaars · Subutai Ahmad · João Sacramento · Zsolt Kira · Hava Siegelmann · Christopher Summerfield -
2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang -
2022 Poster: Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks »
Yen-Cheng Liu · CHIH-YAO MA · Junjiao Tian · Zijian He · Zsolt Kira -
2022 Poster: Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation »
Michael Chang · Tom Griffiths · Sergey Levine -
2021 : Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · Noah Maestre · Mustafa Mukadam · Oleksandr Maksymets · Aaron Gokaslan · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra -
2021 : Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · Noah Maestre · Mustafa Mukadam · Oleksandr Maksymets · Aaron Gokaslan · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra -
2021 Workshop: 5th Workshop on Meta-Learning »
Erin Grant · Fábio Ferreira · Frank Hutter · Jonathan Richard Schwarz · Joaquin Vanschoren · Huaxiu Yao -
2021 Poster: Adversarial Feature Desensitization »
Pouya Bashivan · Reza Bayat · Adam Ibrahim · Kartik Ahuja · Mojtaba Faramarzi · Touraj Laleh · Blake Richards · Irina Rish -
2021 Poster: SOPE: Spectrum of Off-Policy Estimators »
Christina Yuan · Yash Chandak · Stephen Giguere · Philip Thomas · Scott Niekum -
2021 Poster: A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition »
Junjiao Tian · Dylan Yung · Yen-Chang Hsu · Zsolt Kira -
2021 Poster: Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra -
2021 Poster: Powerpropagation: A sparsity inducing weight reparameterisation »
Jonathan Richard Schwarz · Siddhant Jayakumar · Razvan Pascanu · Peter E Latham · Yee Teh -
2021 Poster: Universal Off-Policy Evaluation »
Yash Chandak · Scott Niekum · Bruno da Silva · Erik Learned-Miller · Emma Brunskill · Philip Thomas -
2021 Poster: Continual Learning via Local Module Composition »
Oleksiy Ostapenko · Pau Rodriguez · Massimo Caccia · Laurent Charlin -
2021 Poster: RoMA: Robust Model Adaptation for Offline Model-based Optimization »
Sihyun Yu · Sungsoo Ahn · Le Song · Jinwoo Shin -
2021 : ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation »
Chuang Gan · Jeremy Schwartz · Seth Alter · Damian Mrowca · Martin Schrimpf · James Traer · Julian De Freitas · Jonas Kubilius · Abhishek Bhandwaldar · Nick Haber · Megumi Sano · Kuno Kim · Elias Wang · Michael Lingelbach · Aidan Curtis · Kevin Feigelis · Daniel Bear · Dan Gutfreund · David Cox · Antonio Torralba · James J DiCarlo · Josh Tenenbaum · Josh McDermott · Dan Yamins -
2020 Workshop: Object Representations for Learning and Reasoning »
William Agnew · Rim Assouel · Michael Chang · Antonia Creswell · Eliza Kosoy · Aravind Rajeswaran · Sjoerd van Steenkiste -
2020 : Introduction for invited speaker, Tim Hospedales »
Jonathan Richard Schwarz -
2020 Workshop: Meta-Learning »
Jane Wang · Joaquin Vanschoren · Erin Grant · Jonathan Richard Schwarz · Francesco Visin · Jeff Clune · Roberto Calandra -
2020 Poster: Posterior Re-calibration for Imbalanced Datasets »
Junjiao Tian · Yen-Cheng Liu · Nathaniel Glaser · Yen-Chang Hsu · Zsolt Kira -
2020 Poster: Towards Safe Policy Improvement for Non-Stationary MDPs »
Yash Chandak · Scott Jordan · Georgios Theocharous · Martha White · Philip Thomas -
2020 Poster: Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability »
Nathan Inkawhich · Kevin J Liang · Binghui Wang · Matthew Inkawhich · Lawrence Carin · Yiran Chen -
2020 Poster: Continual Learning in Low-rank Orthogonal Subspaces »
Arslan Chaudhry · Naeemullah Khan · Puneet Dokania · Philip Torr -
2020 Poster: Learning from Failure: De-biasing Classifier from Biased Classifier »
Junhyun Nam · Hyuntak Cha · Sungsoo Ahn · Jaeho Lee · Jinwoo Shin -
2020 Spotlight: Towards Safe Policy Improvement for Non-Stationary MDPs »
Yash Chandak · Scott Jordan · Georgios Theocharous · Martha White · Philip Thomas -
2020 Poster: Guiding Deep Molecular Optimization with Genetic Exploration »
Sungsoo Ahn · Junsu Kim · Hankook Lee · Jinwoo Shin -
2020 Poster: A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection »
Kemal Oksuz · Baris Can Cam · Emre Akbas · Sinan Kalkan -
2020 Spotlight: A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection »
Kemal Oksuz · Baris Can Cam · Emre Akbas · Sinan Kalkan -
2020 Poster: Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations »
Joel Dapello · Tiago Marques · Martin Schrimpf · Franziska Geiger · David Cox · James J DiCarlo -
2020 Spotlight: Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations »
Joel Dapello · Tiago Marques · Martin Schrimpf · Franziska Geiger · David Cox · James J DiCarlo -
2019 : Poster and Coffee Break 2 »
Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall -
2019 : Poster Session »
Ethan Harris · Tom White · Oh Hyeon Choung · Takashi Shinozaki · Dipan Pal · Katherine L. Hermann · Judy Borowski · Camilo Fosco · Chaz Firestone · Vijay Veerabadran · Benjamin Lahner · Chaitanya Ryali · Fenil Doshi · Pulkit Singh · Sharon Zhou · Michel Besserve · Michael Chang · Anelise Newman · Mahesan Niranjan · Jonathon Hare · Daniela Mihai · Marios Savvides · Simon Kornblith · Christina M Funke · Aude Oliva · Virginia de Sa · Dmitry Krotov · Colin Conwell · George Alvarez · Alex Kolchinski · Shengjia Zhao · Mitchell Gordon · Michael Bernstein · Stefano Ermon · Arash Mehrjou · Bernhard Schölkopf · John Co-Reyes · Michael Janner · Jiajun Wu · Josh Tenenbaum · Sergey Levine · Yalda Mohsenzadeh · Zhenglong Zhou -
2019 : Spotlights 1 »
Michael Chang · Jan Chorowski · Matthew Dirks -
2019 Poster: Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs »
Jonas Kubilius · Martin Schrimpf · Kohitij Kar · Rishi Rajalingham · Ha Hong · Najib Majaj · Elias Issa · Pouya Bashivan · Jonathan Prescott-Roy · Kailyn Schmidt · Aran Nayebi · Daniel Bear · Daniel Yamins · James J DiCarlo -
2019 Oral: Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs »
Jonas Kubilius · Martin Schrimpf · Ha Hong · Najib Majaj · Rishi Rajalingham · Elias Issa · Kohitij Kar · Pouya Bashivan · Jonathan Prescott-Roy · Kailyn Schmidt · Aran Nayebi · Daniel Bear · Daniel Yamins · James J DiCarlo -
2019 Poster: MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies »
Xue Bin Peng · Michael Chang · Grace Zhang · Pieter Abbeel · Sergey Levine -
2019 Poster: Experience Replay for Continual Learning »
David Rolnick · Arun Ahuja · Jonathan Richard Schwarz · Timothy Lillicrap · Gregory Wayne -
2019 Poster: Importance Resampling for Off-policy Prediction »
Matthew Schlegel · Wesley Chung · Daniel Graves · Jian Qian · Martha White -
2019 Poster: Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods »
Kevin J Liang · Guoyin Wang · Yitong Li · Ricardo Henao · Lawrence Carin -
2018 : Poster session »
Ralf Mayet · Paulo Orenstein · Heloise Greeff · Tomasz Rutkowski · Jiafan Yu · Milena Marin · Peter He · Jigar Doshi · Xavier Boix · Thomas Janssoone · Aniket Kesari · Yunyi Li · Arbel Vigodny · Ellie Gordon · Zach Moshe · Sella Nevo · Harvey Wu · Jessica Lee · Noel Corriveau · Vincenzo Lomonaco · Yada Pruksachatkun · Naroa Zurutuza · Bhairav Mehta · Carolyne Pelletier · Yasmeen Hitti · Sophia Latessa · Gerard Glowacki · Alexis G Gkantiragas · Oliver Nina · Íñigo Martínez de Rituerto de Troya · Vedran Sekara · Michael Madaio · Eunbee Jang · Ines Moreno · Arnon Houri-Yafin · Claire Babirye -
2017 : Coffee break and Poster Session II »
Mohamed Kane · Albert Haque · Vagelis Papalexakis · John Guibas · Peter Li · Carlos Arias · Eric Nalisnick · Padhraic Smyth · Frank Rudzicz · Xia Zhu · Theodore Willke · Noemie Elhadad · Hans Raffauf · Harini Suresh · Paroma Varma · Yisong Yue · Ognjen (Oggi) Rudovic · Luca Foschini · Syed Rameel Ahmad · Hasham ul Haq · Valerio Maggio · Giuseppe Jurman · Sonali Parbhoo · Pouya Bashivan · Jyoti Islam · Mirco Musolesi · Chris Wu · Alexander Ratner · Jared Dunnmon · Cristóbal Esteban · Aram Galstyan · Greg Ver Steeg · Hrant Khachatrian · Marc Górriz · Mihaela van der Schaar · Anton Nemchenko · Manasi Patwardhan · Tanay Tandon -
2017 Poster: Gauging Variational Inference »
Sungsoo Ahn · Michael Chertkov · Jinwoo Shin -
2016 Poster: Unsupervised Learning from Noisy Networks with Applications to Hi-C Data »
Bo Wang · Junjie Zhu · Armin Pourshafeie · Oana Ursu · Serafim Batzoglou · Anshul Kundaje -
2016 Poster: Synthesis of MCMC and Belief Propagation »
Sungsoo Ahn · Michael Chertkov · Jinwoo Shin -
2016 Oral: Synthesis of MCMC and Belief Propagation »
Sungsoo Ahn · Michael Chertkov · Jinwoo Shin -
2015 Demonstration: The pMMF multiresolution matrix factorization library »
Risi Kondor · Pramod Kaushik Mudrakarta · Nedelina Teneva -
2015 Poster: Minimum Weight Perfect Matching via Blossom Belief Propagation »
Sungsoo Ahn · Sejun Park · Michael Chertkov · Jinwoo Shin -
2015 Spotlight: Minimum Weight Perfect Matching via Blossom Belief Propagation »
Sungsoo Ahn · Sejun Park · Michael Chertkov · Jinwoo Shin -
2014 Poster: Tight Continuous Relaxation of the Balanced k-Cut Problem »
Syama Sundar Rangapuram · Pramod Kaushik Mudrakarta · Matthias Hein