`

Timezone: »

 
Poster Session
Lorenzo Masoero · Tammo Rukat · Runjing Liu · Sayak Ray Chowdhury · Daniel Coelho de Castro · Claudia Wehrhahn · Feras Saad · Archit Verma · Kelvin Hsu · Irineo Cabreros · Sandhya Prabhakaran · Yiming Sun · Maxime Rischard · Linfeng Liu · Adam Farooq · Jeremiah Liu · Melanie F. Pradier · Diego Romeres · Neill Campbell · Kai Xu · Mehmet M Dundar · Tucker Keuter · Prashnna Gyawali · Eli Sennesh · Alessandro De Palma · Daniel Flam-Shepherd · Takatomi Kubo

Fri Dec 07 08:45 AM -- 09:15 AM (PST) @ None

Author Information

Lorenzo Masoero (MIT)
Tammo Rukat (University of Oxford / Amazon Core AI)
Runjing Liu (UC Berkeley)
Sayak Ray Chowdhury (Indian Institute of Science)
Daniel Coelho de Castro (Imperial College London)
Claudia Wehrhahn (University of California Santa Cruz)
Feras Saad (Massachusetts Institute of Technology)
Archit Verma (Princeton University)
Kelvin Hsu (University of Sydney)
Irineo Cabreros (Princeton University)
Sandhya Prabhakaran (Memorial Sloan Kettering Cancer Centre, NYC)
Yiming Sun (Cornell University)
Maxime Rischard (Harvard University)
Linfeng Liu (Tufts University)
Adam Farooq (Aston University)
Jeremiah Liu (Harvard University)
Melanie F. Pradier (Harvard University)
Diego Romeres (Mitsubishi Electric Research Laboratories)

I am a Principal Research Scientist at MERL, mainly working in machine learning applied to robotics. Main research areas are robotic manipulation, probabilistic models, reinforcement learning.

Neill Campbell (University of Bath)
Kai Xu (University of Ediburgh)
Mehmet M Dundar (iupui)
Tucker Keuter (Medical College of Wisconsin)
Prashnna Gyawali (Rochester Institute of Technology)
Eli Sennesh (Northeastern University)

I work in the Probabilistic Modeling Lab at Northeastern University’s CCIS, as well as the Interdisciplinary Affective Science Laboratory. We use the tools of machine learning, statistics, and computation to study the deep questions at the heart of neuroscience, cognition, and agency. We’re making the world a better place through probabilistic programming!

Alessandro De Palma (University of Oxford)

PhD student in Autonomous Intelligent Machines and Systems at University of Oxford

Daniel Flam-Shepherd (University of Toronto)
Takatomi Kubo (NAIST)

Takatomi Kubo received his bachelor's degree in medicine from Osaka University, Japan, in 2002 and his Ph.D. degree in engineering from Nara Institute of Science and Technology (NAIST), Japan, in 2012. He is currently a Research Associate Professor of Graduate School of Information Science, NAIST. His research interests include neuro-engineering, computational neuroscience, and machine learning.

More from the Same Authors

  • 2021 : Understanding Training-Data Leakage from Gradients in Neural Networks for ImageClassifications »
    Cangxiong Chen · Neill Campbell
  • 2021 : Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift »
    Kehang Han · Balaji Lakshminarayanan · Jeremiah Liu
  • 2021 : The CPD Data Set: Personnel, Use of Force, and Complaints in the Chicago Police Department »
    Thibaut Horel · Lorenzo Masoero · Raj Agrawal · Daria Roithmayr · Trevor Campbell
  • 2021 : Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning »
    Zachary Nado · Neil Band · Mark Collier · Josip Djolonga · Mike Dusenberry · Sebastian Farquhar · Qixuan Feng · Angelos Filos · Marton Havasi · Rodolphe Jenatton · Ghassen Jerfel · Jeremiah Liu · Zelda Mariet · Jeremy Nixon · Shreyas Padhy · Jie Ren · Tim G. J. Rudner · Yeming Wen · Florian Wenzel · Kevin Murphy · D. Sculley · Balaji Lakshminarayanan · Jasper Snoek · Yarin Gal · Dustin Tran
  • 2021 : Deep Classifiers with Label Noise Modeling and Distance Awareness »
    Vincent Fortuin · Mark Collier · Florian Wenzel · James Allingham · Jeremiah Liu · Dustin Tran · Balaji Lakshminarayanan · Jesse Berent · Rodolphe Jenatton · Effrosyni Kokiopoulou
  • 2021 Workshop: Bridging the Gap: from Machine Learning Research to Clinical Practice »
    Julia Vogt · Ece Ozkan · Sonali Parbhoo · Melanie F. Pradier · Patrick Schwab · Shengpu Tang · Mario Wieser · Jiayu Yao
  • 2021 Workshop: I (Still) Can't Believe It's Not Better: A workshop for “beautiful” ideas that "should" have worked »
    Aaron Schein · Melanie F. Pradier · Jessica Forde · Stephanie Hyland · Francisco Ruiz
  • 2021 : Evaluating Approximate Inference in Bayesian Deep Learning + Q&A »
    Andrew Gordon Wilson · Pavel Izmailov · Matthew Hoffman · Yarin Gal · Yingzhen Li · Melanie F. Pradier · Sharad Vikram · Andrew Foong · Sanae Lotfi · Sebastian Farquhar
  • 2021 Poster: A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics »
    Kai Xu · Akash Srivastava · Dan Gutfreund · Felix Sosa · Tomer Ullman · Josh Tenenbaum · Charles Sutton
  • 2021 Poster: Fine-Grained Zero-Shot Learning with DNA as Side Information »
    Sarkhan Badirli · Zeynep Akata · George Mohler · Christine Picard · Mehmet M Dundar
  • 2021 Poster: Targeted Neural Dynamical Modeling »
    Cole Hurwitz · Akash Srivastava · Kai Xu · Justin Jude · Matthew Perich · Lee Miller · Matthias Hennig
  • 2020 Workshop: I Can’t Believe It’s Not Better! Bridging the gap between theory and empiricism in probabilistic machine learning »
    Jessica Forde · Francisco Ruiz · Melanie Fernandez Pradier · Aaron Schein · Finale Doshi-Velez · Isabel Valera · David Blei · Hanna Wallach
  • 2020 : Intro »
    Aaron Schein · Melanie F. Pradier
  • 2020 Poster: Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness »
    Jeremiah Liu · Zi Lin · Shreyas Padhy · Dustin Tran · Tania Bedrax Weiss · Balaji Lakshminarayanan
  • 2020 Poster: Telescoping Density-Ratio Estimation »
    Benjamin Rhodes · Kai Xu · Michael Gutmann
  • 2020 Poster: Neural Topographic Factor Analysis for fMRI Data »
    Eli Sennesh · Zulqarnain Khan · Yiyu Wang · J Benjamin Hutchinson · Ajay Satpute · Jennifer Dy · Jan-Willem van de Meent
  • 2020 Spotlight: Telescoping Density-Ratio Estimation »
    Benjamin Rhodes · Kai Xu · Michael Gutmann
  • 2019 : Lunch break & Poster session »
    Breandan Considine · Michael Innes · Du Phan · Dougal Maclaurin · Robin Manhaeve · Alexey Radul · Shashi Gowda · Ekansh Sharma · Eli Sennesh · Maxim Kochurov · Gordon Plotkin · Thomas Wiecki · Navjot Kukreja · Chung-chieh Shan · Matthew Johnson · Dan Belov · Neeraj Pradhan · Wannes Meert · Angelika Kimmig · Luc De Raedt · Brian Patton · Matthew Hoffman · Rif A. Saurous · Daniel Roy · Eli Bingham · Martin Jankowiak · Colin Carroll · Junpeng Lao · Liam Paull · Martin Abadi · Angel Rojas Jimenez · JP Chen
  • 2019 : Poster and Coffee Break 1 »
    Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen (Vincent) Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova
  • 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 »
    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 · Mikhal 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: Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions »
    Chris Russell · Matteo Toso · Neill Campbell
  • 2019 Poster: Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference »
    Cole Hurwitz · Kai Xu · Akash Srivastava · Alessio Buccino · Matthias Hennig
  • 2019 Poster: Accurate Uncertainty Estimation and Decomposition in Ensemble Learning »
    Jeremiah Liu · John Paisley · Marianthi-Anna Kioumourtzoglou · Brent Coull
  • 2019 Poster: Bayesian Optimization under Heavy-tailed Payoffs »
    Sayak Ray Chowdhury · Aditya Gopalan
  • 2019 Spotlight: Bayesian Optimization under Heavy-tailed Payoffs »
    Sayak Ray Chowdhury · Aditya Gopalan
  • 2017 : Posters »
    Reihaneh Rabbany · Tianxi Li · Jacob Carroll · Yin Cheng Ng · Xueyu Mao · Alexandre Hollocou · Jeric Briones · James Atwood · John Santerre · Natalie Klein · Pranamesh Chakraborty · Zahra Razaee · Chandan Singh · Arun Suggala · Beilun Wang · Andrew R. Lawrence · Aditya Grover · FARSHAD HARIRCHI · radhika arava · Qing Zhou · Takatomi Kubo · Josue Orellana · Govinda Kamath · Vivek Kumar Bagaria
  • 2017 Poster: Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes »
    Jeremiah Liu · Brent Coull
  • 2016 Poster: A Probabilistic Programming Approach To Probabilistic Data Analysis »
    Feras Saad · Vikash Mansinghka