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Author Information
Yisong Yue (Caltech)
J. Zico Kolter (Carnegie Mellon University / Bosch Center for AI)
Zico Kolter is an Assistant Professor in the School of Computer Science at Carnegie Mellon University, and also serves as Chief Scientist of AI Research for the Bosch Center for Artificial Intelligence. His work focuses on the intersection of machine learning and optimization, with a large focus on developing more robust, explainable, and rigorous methods in deep learning. In addition, he has worked on a number of application areas, highlighted by work on sustainability and smart energy systems. He is the recipient of the DARPA Young Faculty Award, and best paper awards at KDD, IJCAI, and PESGM.
Ivan Dario D Jimenez Rodriguez (California Institute of Technology)
Dragos Margineantu (Boeing)
Ph.D. (2001) - Machine Learning Technical Lead of AI Research at Boeing.
Animesh Garg (University of Toronto, Nvidia, Vector Institute)
I am a CIFAR AI Chair Assistant Professor of Computer Science at the University of Toronto, a Faculty Member at the Vector Institute, and Sr. Researcher at Nvidia. My current research focuses on machine learning for perception and control in robotics.
Melissa Greeff (University of Toronto)
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2020 : An adversarially robust approach to security-constrained optimal power flow »
Neeraj Vijay Bedmutha · Priya Donti · J. Zico Kolter -
2021 : Tutorial: Safe Learning for Decision Making »
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2021 : The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions »
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2021 : Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning »
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2021 : Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World Trifinger »
Arthur Allshire · Mayank Mittal · Varun Lodaya · Viktor Makoviychuk · Denys Makoviichuk · Felix Widmaier · Manuel Wuethrich · Stefan Bauer · Ankur Handa · Animesh Garg -
2021 : Learning Discrete Neural Reaction Class to Improve Retrosynthesis Prediction »
Théophile Gaudin · Animesh Garg · Alan Aspuru-Guzik -
2021 : Reinforcement Learning in Factored Action Spaces using Tensor Decompositions »
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2022 : Neurosymbolic Programming for Science »
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2022 : SustainGym: A Benchmark Suite of Reinforcement Learning for Sustainability Applications »
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2022 : ProgPrompt: Generating Situated Robot Task Plans using Large Language Models »
Ishika Singh · Valts Blukis · Arsalan Mousavian · Ankit Goyal · Danfei Xu · Jonathan Tremblay · Dieter Fox · Jesse Thomason · Animesh Garg -
2022 : Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation »
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2022 : Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers »
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2022 : A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games »
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2022 : Uncertainty-Driven Exploration for Generalization in Reinforcement Learning »
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2022 : Learning Successor Feature Representations to Train Robust Policies for Multi-task Learning »
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2022 : Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes »
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2023 Poster: On the Importance of Exploration for Generalization in Reinforcement Learning »
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2023 Poster: Deep Equilibrium Based Neural Operators for Steady-State PDEs »
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2023 Poster: Learning with Explanation Constraints »
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2023 Poster: Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations »
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2023 Poster: Permutation Equivariant Neural Functionals »
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2023 Poster: Neural Functional Transformers »
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2023 Poster: Provably Bounding Neural Network Preimages »
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2023 Poster: Language Models are Weak Learners »
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2023 Poster: SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems »
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2023 Workshop: XAI in Action: Past, Present, and Future Applications »
Chhavi Yadav · Michal Moshkovitz · Nave Frost · Suraj Srinivas · Bingqing Chen · Valentyn Boreiko · Himabindu Lakkaraju · J. Zico Kolter · Dotan Di Castro · Kamalika Chaudhuri -
2022 : Debate: Robotics for Good »
Karol Hausman · Katherine Driggs-Campbell · Luca Carlone · Sarah Dean · Matthew Johnson-Roberson · Animesh Garg -
2022 : Panel: Uncertainty-Aware Machine Learning for Robotics (Q&A 1) »
Georgia Chalvatzaki · Stefanie Tellex · Animesh Garg -
2022 Workshop: Trustworthy and Socially Responsible Machine Learning »
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2022 Workshop: The Symbiosis of Deep Learning and Differential Equations II »
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2022 : Panel »
Jeevana Priya Inala · Pushmeet Kohli · Ann Kennedy · Sriram Rajamani · Yisong Yue -
2022 : Zico Kolter, Adapt like you train: How optimization at training time affects model finetuning and adaptation »
J. Zico Kolter -
2022 : Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings »
Sabera Talukder · Jennifer J Sun · Matthew Leonard · Bingni Brunton · Yisong Yue -
2022 Poster: Characterizing Datapoints via Second-Split Forgetting »
Pratyush Maini · Saurabh Garg · Zachary Lipton · J. Zico Kolter -
2022 Poster: Learning Options via Compression »
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2022 Poster: Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation »
Zhouxing Shi · Yihan Wang · Huan Zhang · J. Zico Kolter · Cho-Jui Hsieh -
2022 Poster: Test Time Adaptation via Conjugate Pseudo-labels »
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2022 Poster: Deep Equilibrium Approaches to Diffusion Models »
Ashwini Pokle · Zhengyang Geng · J. Zico Kolter -
2022 Poster: Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift »
Christina Baek · Yiding Jiang · Aditi Raghunathan · J. Zico Kolter -
2022 Poster: General Cutting Planes for Bound-Propagation-Based Neural Network Verification »
Huan Zhang · Shiqi Wang · Kaidi Xu · Linyi Li · Bo Li · Suman Jana · Cho-Jui Hsieh · J. Zico Kolter -
2022 Poster: Policy Optimization with Linear Temporal Logic Constraints »
Cameron Voloshin · Hoang Le · Swarat Chaudhuri · Yisong Yue -
2022 Poster: Path Independent Equilibrium Models Can Better Exploit Test-Time Computation »
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2022 Poster: The Pitfalls of Regularization in Off-Policy TD Learning »
Gaurav Manek · J. Zico Kolter -
2021 : Reinforcement Learning in Factored Action Spaces using Tensor Decompositions »
Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviichuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar -
2021 : Enforcing Robustness for Neural Network Policies »
J. Zico Kolter -
2021 : Learning for Agile Control in the Real World: Challenges and Opportunities »
Yisong Yue · Ivan Dario D Jimenez Rodriguez -
2021 : Robust Embedded Learned Models »
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2021 : Theme B Introduction »
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2021 Workshop: Deployable Decision Making in Embodied Systems (DDM) »
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2021 Workshop: The Symbiosis of Deep Learning and Differential Equations »
Luca Celotti · Kelly Buchanan · Jorge Ortiz · Patrick Kidger · Stefano Massaroli · Michael Poli · Lily Hu · Ermal Rrapaj · Martin Magill · Thorsteinn Jonsson · Animesh Garg · Murtadha Aldeer -
2021 : Safe RL Debate »
Sylvia Herbert · Animesh Garg · Emma Brunskill · Aleksandra Faust · Dylan Hadfield-Menell -
2021 : Safe RL Panel Discussion »
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2021 Poster: Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification »
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2021 Poster: Meta-Adaptive Nonlinear Control: Theory and Algorithms »
Guanya Shi · Kamyar Azizzadenesheli · Michael O'Connell · Soon-Jo Chung · Yisong Yue -
2021 Poster: Joint inference and input optimization in equilibrium networks »
Swaminathan Gurumurthy · Shaojie Bai · Zachary Manchester · J. Zico Kolter -
2021 Poster: Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers »
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2021 Poster: $(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations »
Zhichun Huang · Shaojie Bai · J. Zico Kolter -
2021 Poster: Boosted CVaR Classification »
Runtian Zhai · Chen Dan · Arun Suggala · J. Zico Kolter · Pradeep Ravikumar -
2021 Poster: DeepGEM: Generalized Expectation-Maximization for Blind Inversion »
Angela Gao · Jorge Castellanos · Yisong Yue · Zachary Ross · Katherine Bouman -
2021 Poster: Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds »
Yujia Huang · Huan Zhang · Yuanyuan Shi · J. Zico Kolter · Anima Anandkumar -
2021 Poster: Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions »
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2021 Poster: Adversarially robust learning for security-constrained optimal power flow »
Priya Donti · Aayushya Agarwal · Neeraj Vijay Bedmutha · Larry Pileggi · J. Zico Kolter -
2021 Poster: Robustness between the worst and average case »
Leslie Rice · Anna Bair · Huan Zhang · J. Zico Kolter -
2021 Poster: Monte Carlo Tree Search With Iteratively Refining State Abstractions »
Samuel Sokota · Caleb Y Ho · Zaheen Ahmad · J. Zico Kolter -
2021 Poster: Dynamic Bottleneck for Robust Self-Supervised Exploration »
Chenjia Bai · Lingxiao Wang · Lei Han · Animesh Garg · Jianye Hao · Peng Liu · Zhaoran Wang -
2021 Poster: Iterative Amortized Policy Optimization »
Joseph Marino · Alexandre Piche · Alessandro Davide Ialongo · Yisong Yue -
2020 : Invited Talk (Zico Kolter) »
J. Zico Kolter -
2020 Workshop: Machine Learning for Engineering Modeling, Simulation and Design »
Alex Beatson · Priya Donti · Amira Abdel-Rahman · Stephan Hoyer · Rose Yu · J. Zico Kolter · Ryan Adams -
2020 Workshop: Learning Meets Combinatorial Algorithms »
Marin Vlastelica · Jialin Song · Aaron Ferber · Brandon Amos · Georg Martius · Bistra Dilkina · Yisong Yue -
2020 : Keynote by Zico Kolter »
J. Zico Kolter -
2020 Poster: Online Optimization with Memory and Competitive Control »
Guanya Shi · Yiheng Lin · Soon-Jo Chung · Yisong Yue · Adam Wierman -
2020 Poster: A General Large Neighborhood Search Framework for Solving Integer Linear Programs »
Jialin Song · ravi lanka · Yisong Yue · Bistra Dilkina -
2020 Poster: Community detection using fast low-cardinality semidefinite programming
»
Po-Wei Wang · J. Zico Kolter -
2020 Poster: Deep Archimedean Copulas »
Chun Kai Ling · Fei Fang · J. Zico Kolter -
2020 Poster: Learning compositional functions via multiplicative weight updates »
Jeremy Bernstein · Jiawei Zhao · Markus Meister · Ming-Yu Liu · Anima Anandkumar · Yisong Yue -
2020 Tutorial: (Track3) Deep Implicit Layers: Neural ODEs, Equilibrium Models, and Differentiable Optimization Q&A »
David Duvenaud · J. Zico Kolter · Matthew Johnson -
2020 Poster: Learning Differentiable Programs with Admissible Neural Heuristics »
Ameesh Shah · Eric Zhan · Jennifer J Sun · Abhinav Verma · Yisong Yue · Swarat Chaudhuri -
2020 Poster: Causal Discovery in Physical Systems from Videos »
Yunzhu Li · Antonio Torralba · Anima Anandkumar · Dieter Fox · Animesh Garg -
2020 Poster: Efficient semidefinite-programming-based inference for binary and multi-class MRFs »
Chirag Pabbaraju · Po-Wei Wang · J. Zico Kolter -
2020 Spotlight: Efficient semidefinite-programming-based inference for binary and multi-class MRFs »
Chirag Pabbaraju · Po-Wei Wang · J. Zico Kolter -
2020 Poster: Curriculum By Smoothing »
Samarth Sinha · Animesh Garg · Hugo Larochelle -
2020 Spotlight: Curriculum By Smoothing »
Samarth Sinha · Animesh Garg · Hugo Larochelle -
2020 Poster: Multiscale Deep Equilibrium Models »
Shaojie Bai · Vladlen Koltun · J. Zico Kolter -
2020 Poster: Denoised Smoothing: A Provable Defense for Pretrained Classifiers »
Hadi Salman · Mingjie Sun · Greg Yang · Ashish Kapoor · J. Zico Kolter -
2020 Poster: Counterfactual Data Augmentation using Locally Factored Dynamics »
Silviu Pitis · Elliot Creager · Animesh Garg -
2020 Poster: Monotone operator equilibrium networks »
Ezra Winston · J. Zico Kolter -
2020 Poster: On the distance between two neural networks and the stability of learning »
Jeremy Bernstein · Arash Vahdat · Yisong Yue · Ming-Yu Liu -
2020 Spotlight: Monotone operator equilibrium networks »
Ezra Winston · J. Zico Kolter -
2020 Oral: Multiscale Deep Equilibrium Models »
Shaojie Bai · Vladlen Koltun · J. Zico Kolter -
2020 Session: Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity »
Animesh Garg · Rose Yu -
2020 Poster: The Power of Predictions in Online Control »
Chenkai Yu · Guanya Shi · Soon-Jo Chung · Yisong Yue · Adam Wierman -
2020 Tutorial: (Track3) Deep Implicit Layers: Neural ODEs, Equilibrium Models, and Differentiable Optimization »
David Duvenaud · J. Zico Kolter · Matthew Johnson -
2019 : Poster Presentations »
Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange -
2019 Workshop: Safety and Robustness in Decision-making »
Mohammad Ghavamzadeh · Shie Mannor · Yisong Yue · Marek Petrik · Yinlam Chow -
2019 Poster: Learning Stable Deep Dynamics Models »
J. Zico Kolter · Gaurav Manek -
2019 Poster: Imitation-Projected Programmatic Reinforcement Learning »
Abhinav Verma · Hoang Le · Yisong Yue · Swarat Chaudhuri -
2019 Poster: Adversarial Music: Real world Audio Adversary against Wake-word Detection System »
Juncheng Li · Shuhui Qu · Xinjian Li · Joseph Szurley · J. Zico Kolter · Florian Metze -
2019 Spotlight: Adversarial Music: Real world Audio Adversary against Wake-word Detection System »
Juncheng Li · Shuhui Qu · Xinjian Li · Joseph Szurley · J. Zico Kolter · Florian Metze -
2019 Poster: Differentiable Convex Optimization Layers »
Akshay Agrawal · Brandon Amos · Shane Barratt · Stephen Boyd · Steven Diamond · J. Zico Kolter -
2019 Poster: NAOMI: Non-Autoregressive Multiresolution Sequence Imputation »
Yukai Liu · Rose Yu · Stephan Zheng · Eric Zhan · Yisong Yue -
2019 Poster: Teaching Multiple Concepts to a Forgetful Learner »
Anette Hunziker · Yuxin Chen · Oisin Mac Aodha · Manuel Gomez Rodriguez · Andreas Krause · Pietro Perona · Yisong Yue · Adish Singla -
2019 Poster: Uniform convergence may be unable to explain generalization in deep learning »
Vaishnavh Nagarajan · J. Zico Kolter -
2019 Poster: Landmark Ordinal Embedding »
Nikhil Ghosh · Yuxin Chen · Yisong Yue -
2019 Poster: Deep Equilibrium Models »
Shaojie Bai · J. Zico Kolter · Vladlen Koltun -
2019 Spotlight: Deep Equilibrium Models »
Shaojie Bai · J. Zico Kolter · Vladlen Koltun -
2019 Oral: Uniform convergence may be unable to explain generalization in deep learning »
Vaishnavh Nagarajan · J. Zico Kolter -
2018 : Poster Session »
Sujay Sanghavi · Vatsal Shah · Yanyao Shen · Tianchen Zhao · Yuandong Tian · Tomer Galanti · Mufan Li · Gilad Cohen · Daniel Rothchild · Aristide Baratin · Devansh Arpit · Vagelis Papalexakis · Michael Perlmutter · Ashok Vardhan Makkuva · Pim de Haan · Yingyan Lin · Wanmo Kang · Cheolhyoung Lee · Hao Shen · Sho Yaida · Dan Roberts · Nadav Cohen · Philippe Casgrain · Dejiao Zhang · Tengyu Ma · Avinash Ravichandran · Julian Emilio Salazar · Bo Li · Davis Liang · Christopher Wong · Glen Bigan Mbeng · Animesh Garg -
2018 : Yisong Yue »
Yisong Yue -
2018 : Talk 1: Zico Kolter - Differentiable Physics and Control »
J. Zico Kolter -
2018 Poster: Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners »
Yuxin Chen · Adish Singla · Oisin Mac Aodha · Pietro Perona · Yisong Yue -
2018 Poster: Differentiable MPC for End-to-end Planning and Control »
Brandon Amos · Ivan Jimenez · Jacob I Sacks · Byron Boots · J. Zico Kolter -
2018 Poster: End-to-End Differentiable Physics for Learning and Control »
Filipe de Avila Belbute Peres · Kevin Smith · Kelsey Allen · Josh Tenenbaum · J. Zico Kolter -
2018 Spotlight: End-to-End Differentiable Physics for Learning and Control »
Filipe de Avila Belbute Peres · Kevin Smith · Kelsey Allen · Josh Tenenbaum · J. Zico Kolter -
2018 Poster: A General Method for Amortizing Variational Filtering »
Joseph Marino · Milan Cvitkovic · Yisong Yue -
2018 Poster: Scaling provable adversarial defenses »
Eric Wong · Frank Schmidt · Jan Hendrik Metzen · J. Zico Kolter -
2018 Tutorial: Adversarial Robustness: Theory and Practice »
J. Zico Kolter · Aleksander Madry -
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 : Provable defenses against adversarial examples via the convex outer adversarial polytope »
J. Zico Kolter -
2017 Poster: Gradient descent GAN optimization is locally stable »
Vaishnavh Nagarajan · J. Zico Kolter -
2017 Oral: Gradient descent GAN optimization is locally stable »
Vaishnavh Nagarajan · J. Zico Kolter -
2017 Poster: Task-based End-to-end Model Learning in Stochastic Optimization »
Priya Donti · J. Zico Kolter · Brandon Amos -
2016 Poster: The Multiple Quantile Graphical Model »
Alnur Ali · J. Zico Kolter · Ryan Tibshirani -
2016 Poster: Generating Long-term Trajectories Using Deep Hierarchical Networks »
Stephan Zheng · Yisong Yue · Patrick Lucey -
2015 Poster: Smooth Interactive Submodular Set Cover »
Bryan He · Yisong Yue -
2015 Demonstration: Data-Driven Speech Animation »
Yisong Yue · Iain Matthews -
2013 Workshop: Machine Learning for Sustainability »
Edwin Bonilla · Thomas Dietterich · Theodoros Damoulas · Andreas Krause · Daniel Sheldon · Iadine Chades · J. Zico Kolter · Bistra Dilkina · Carla Gomes · Hugo P Simao -
2011 Workshop: Machine Learning for Sustainability »
Thomas Dietterich · J. Zico Kolter · Matthew A Brown -
2011 Poster: The Fixed Points of Off-Policy TD »
J. Zico Kolter -
2011 Spotlight: The Fixed Points of Off-Policy TD »
J. Zico Kolter -
2010 Poster: Energy Disaggregation via Discriminative Sparse Coding »
J. Zico Kolter · Siddarth Batra · Andrew Y Ng -
2009 Mini Symposium: Machine Learning for Sustainability »
J. Zico Kolter · Thomas Dietterich · Andrew Y Ng -
2007 Spotlight: Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion »
J. Zico Kolter · Pieter Abbeel · Andrew Y Ng -
2007 Poster: Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion »
J. Zico Kolter · Pieter Abbeel · Andrew Y Ng -
2006 Workshop: Testing of Deployable Learning & Decision Systems »
Kiri L Wagstaff · Chris Drummond · Dragos Margineantu