Kolter, Zico

32 publications

AAAI 2025 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA Toby Walsh, Julie Shah, Zico Kolter

CVPR 2024 DART: Implicit Doppler Tomography for Radar Novel View Synthesis Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe

CVPR 2024 From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen, Zachary Manchester, Zico Kolter

NeurIPS 2024 Improving Alignment and Robustness with Circuit Breakers Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, Rowan Wang, Zico Kolter, Matt Fredrikson, Dan Hendrycks

NeurIPS 2024 Predicting the Performance of Foundation Models via Agreement-on-the-Line Rahul Saxena, Taeyoun Kim, Aman Mehra, Christina Baek, Zico Kolter, Aditi Raghunathan

WACV 2023 Adversarial Robustness in Discontinuous Spaces via Alternating Sampling & Descent Rahul Venkatesh, Eric Wong, Zico Kolter

CVPR 2023 Finetune like You Pretrain: Improved Finetuning of Zero-Shot Vision Models Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan

AISTATS 2023 Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter

CVPR 2023 Single Image Backdoor Inversion via Robust Smoothed Classifiers Mingjie Sun, Zico Kolter

ICML 2022 A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, Zico Kolter

ICML 2022 Communicating via Markov Decision Processes Samuel Sokota, Christian A Schroeder De Witt, Maximilian Igl, Luisa M Zintgraf, Philip Torr, Martin Strohmeier, Zico Kolter, Shimon Whiteson, Jakob Foerster

ECCV 2022 Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi

AISTATS 2021 Provably Safe PAC-MDP Exploration Using Analogies Melrose Roderick, Vaishnavh Nagarajan, Zico Kolter

ICML 2021 DORO: Distributional and Outlier Robust Optimization Runtian Zhai, Chen Dan, Zico Kolter, Pradeep Ravikumar

CVPR 2021 Defending Multimodal Fusion Models Against Single-Source Adversaries Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, Zico Kolter

ICML 2021 On Proximal Policy Optimization’s Heavy-Tailed Gradients Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, Zico Kolter, Zachary Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar

ICML 2021 RATT: Leveraging Unlabeled Data to Guarantee Generalization Saurabh Garg, Sivaraman Balakrishnan, Zico Kolter, Zachary Lipton

ICML 2021 Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai, Vladlen Koltun, Zico Kolter

ICLR 2020 A Framework for Robustness Certification of Smoothed Classifiers Using F-Divergences Krishnamurthy Dvijotham, Jamie Hayes, Borja Balle, Zico Kolter, Chongli Qin, Andras Gyorgy, Kai Xiao, Sven Gowal, Pushmeet Kohli

AISTATS 2020 AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning Rizal Fathony, Zico Kolter

ICML 2020 Adversarial Robustness Against the Union of Multiple Perturbation Models Pratyush Maini, Eric Wong, Zico Kolter

ICML 2020 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, Zico Kolter

ICML 2020 Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction Filipe De Avila Belbute-Peres, Thomas Economon, Zico Kolter

ICML 2020 Overfitting in Adversarially Robust Deep Learning Leslie Rice, Eric Wong, Zico Kolter

ICML 2019 Adversarial Camera Stickers: A Physical Camera-Based Attack on Deep Learning Systems Juncheng Li, Frank Schmidt, Zico Kolter

ICML 2019 Certified Adversarial Robustness via Randomized Smoothing Jeremy Cohen, Elan Rosenfeld, Zico Kolter

ICLR 2019 Deterministic PAC-Bayesian Generalization Bounds for Deep Networks via Generalizing Noise-Resilience Vaishnavh Nagarajan, Zico Kolter

ICML 2019 SATNet: Bridging Deep Learning and Logical Reasoning Using a Differentiable Satisfiability Solver Po-Wei Wang, Priya Donti, Bryan Wilder, Zico Kolter

ICML 2019 Wasserstein Adversarial Examples via Projected Sinkhorn Iterations Eric Wong, Frank Schmidt, Zico Kolter

ICML 2018 Provable Defenses Against Adversarial Examples via the Convex Outer Adversarial Polytope Eric Wong, Zico Kolter

ICML 2016 Epigraph Projections for Fast General Convex Programming Po-Wei Wang, Matt Wytock, Zico Kolter

ICML 2013 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting Matt Wytock, Zico Kolter