J. Zico Kolter

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 250

Top Venues

CoRR

NeurIPS

ICLR

ICML

Publications

Christina Baek, J. Zico Kolter, Aditi Raghunathan
Why is SAM Robust to Label Noise? ICLR (2024)
Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter
An Axiomatic Approach to Model-Agnostic Concept Explanations. CoRR (2024)
Zhengyang Geng, Ashwini Pokle, J. Zico Kolter
One-Step Diffusion Distillation via Deep Equilibrium Models. CoRR (2024)
Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
The Update-Equivalence Framework for Decision-Time Planning. ICLR (2024)
Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Rethinking LLM Memorization through the Lens of Adversarial Compression. CoRR (2024)
Yiding Jiang, Christina Baek, J. Zico Kolter
On the Joint Interaction of Models, Data, and Features. ICLR (2024)
Victor Akinwande, J. Zico Kolter
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs. CoRR (2024)
Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. CoRR (2024)
Mingjie Sun, Xinlei Chen, J. Zico Kolter, Zhuang Liu
Massive Activations in Large Language Models. CoRR (2024)
Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter
Scaling Laws for Data Filtering - Data Curation cannot be Compute Agnostic. CoRR (2024)
Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter
A Simple and Effective Pruning Approach for Large Language Models. ICLR (2024)
Zhili Feng, Anna Bair, J. Zico Kolter
Text Descriptions are Compressive and Invariant Representations for Visual Learning. Trans. Mach. Learn. Res. 2024 (2024)
Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter
TOFU: A Task of Fictitious Unlearning for LLMs. CoRR (2024)
Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
Manifold Preserving Guided Diffusion. ICLR (2024)
Samuel Sokota, Dylan Sam, Christian Schröder de Witt, Spencer Compton, Jakob N. Foerster, J. Zico Kolter
Computing Low-Entropy Couplings for Large-Support Distributions. CoRR (2024)
Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Zico Kolter, Aditi Raghunathan
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. ICLR (2024)
Sumukh K. Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Understanding Hallucinations in Diffusion Models through Mode Interpolation. CoRR (2024)
Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression. ICLR (2024)
Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon Byun, J. Zico Kolter
Bayesian Neural Networks with Domain Knowledge Priors. CoRR (2024)
Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter
Understanding prompt engineering may not require rethinking generalization. ICLR (2024)
Zhengyang Geng, Ashwini Pokle, William Luo, Justin Lin, J. Zico Kolter
Consistency Models Made Easy. CoRR (2024)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. NeurIPS (2023)
Melrose Roderick, Gaurav Manek, Felix Berkenkamp, J. Zico Kolter
Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. CoRR (2023)
Asher Trockman, J. Zico Kolter
Patches Are All You Need? Trans. Mach. Learn. Res. 2023 (2023)
Yiding Jiang, J. Zico Kolter, Roberta Raileanu
On the Importance of Exploration for Generalization in Reinforcement Learning. CoRR (2023)
Swaminathan Gurumurthy, Zachary Manchester, J. Zico Kolter
Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning. L4DC (2023)
Andy Zou, Zifan Wang, J. Zico Kolter, Matt Fredrikson
Universal and Transferable Adversarial Attacks on Aligned Language Models. CoRR (2023)
Swaminathan Gurumurthy, J. Zico Kolter, Zachary Manchester
Deep Off-Policy Iterative Learning Control. L4DC (2023)
Zhili Feng, Ezra Winston, J. Zico Kolter
Monotone deep Boltzmann machines. Trans. Mach. Learn. Res. 2023 (2023)
Nicholas Carlini, Florian Tramèr, Krishnamurthy (Dj) Dvijotham, Leslie Rice, Mingjie Sun, J. Zico Kolter
(Certified!!) Adversarial Robustness for Free! ICLR (2023)
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
Deep Equilibrium Based Neural Operators for Steady-State PDEs. CoRR (2023)
Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
Manifold Preserving Guided Diffusion. CoRR (2023)
Asher Trockman, Devin Willmott, J. Zico Kolter
Understanding the Covariance Structure of Convolutional Filters. ICLR (2023)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. ICML (2023)
Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar
Learning with Explanation Constraints. NeurIPS (2023)
Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar
Learning with Explanation Constraints. CoRR (2023)
Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang
Can Neural Network Memorization Be Localized? ICML (2023)
Mukul Bhutani, J. Zico Kolter
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport. CoRR (2023)
Chun Kai Ling, J. Zico Kolter, Fei Fang
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI (2023)
Zhili Feng, Anna Bair, J. Zico Kolter
Leveraging Multiple Descriptive Features for Robust Few-shot Image Learning. CoRR (2023)
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
Deep Equilibrium Based Neural Operators for Steady-State PDEs. NeurIPS (2023)
Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier
Perfectly Secure Steganography Using Minimum Entropy Coupling. ICLR (2023)
Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
The Update Equivalence Framework for Decision-Time Planning. CoRR (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. CoRR (2023)
Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. ICLR (2023)
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. CoRR (2023)
Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR (2023)
Zhengyang Geng, J. Zico Kolter
TorchDEQ: A Library for Deep Equilibrium Models. CoRR (2023)
Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter
A Simple and Effective Pruning Approach for Large Language Models. CoRR (2023)
Zhili Feng, J. Zico Kolter
On the Neural Tangent Kernel of Equilibrium Models. CoRR (2023)
Yiding Jiang, J. Zico Kolter, Roberta Raileanu
On the Importance of Exploration for Generalization in Reinforcement Learning. NeurIPS (2023)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar
Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR (2023)
Asher Trockman, J. Zico Kolter
Mimetic Initialization of Self-Attention Layers. CoRR (2023)
Zhili Feng, Ezra Winston, J. Zico Kolter
Monotone deep Boltzmann machines. CoRR (2023)
Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter
Understanding prompt engineering may not require rethinking generalization. CoRR (2023)
Asher Trockman, J. Zico Kolter
Mimetic Initialization of Self-Attention Layers. ICML (2023)
Hariharan Manikandan, Yiding Jiang, J. Zico Kolter
Language Models are Weak Learners. NeurIPS (2023)
Filipe de Avila Belbute-Peres, J. Zico Kolter
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth. ICLR (2023)
Pratyush Maini, Michael C. Mozer, Hanie Sedghi, Zachary C. Lipton, J. Zico Kolter, Chiyuan Zhang
Can Neural Network Memorization Be Localized? CoRR (2023)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. CoRR (2023)
Yiding Jiang, Christina Baek, J. Zico Kolter
On the Joint Interaction of Models, Data, and Features. CoRR (2023)
Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. CoRR (2023)
Yutong He, Ruslan Salakhutdinov, J. Zico Kolter
Localized Text-to-Image Generation for Free via Cross Attention Control. CoRR (2023)
Dylan Sam, J. Zico Kolter
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. AAAI (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. NeurIPS (2023)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. CoRR (2023)
Hariharan Manikandan, Yiding Jiang, J. Zico Kolter
Language models are weak learners. CoRR (2023)
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. EMNLP (2023)
Zhengyang Geng, Ashwini Pokle, J. Zico Kolter
One-Step Diffusion Distillation via Deep Equilibrium Models. NeurIPS (2023)
Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
Provably Bounding Neural Network Preimages. NeurIPS (2023)
Ashwini Pokle, Zhengyang Geng, J. Zico Kolter
Deep Equilibrium Approaches to Diffusion Models. NeurIPS (2022)
Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter
Deep Equilibrium Optical Flow Estimation. CVPR (2022)
Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. CoRR (2022)
Samuel Sokota, Christian A. Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster
Communicating via Markov Decision Processes. ICML (2022)
Sachin Goyal, Mingjie Sun, Aditi Raghunathan, J. Zico Kolter
Test Time Adaptation via Conjugate Pseudo-labels. NeurIPS (2022)
Colin Wei, J. Zico Kolter
Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation. ICLR (2022)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR (2022)
Chun Kai Ling, J. Zico Kolter, Fei Fang
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR (2022)
Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter
Defending Multimodal Fusion Models against Single-Source Adversaries. CoRR (2022)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. NeurIPS (2022)
Gaurav Manek, J. Zico Kolter
The Pitfalls of Regularization in Off-Policy TD Learning. NeurIPS (2022)
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. CoRR (2022)
Nicholas Carlini, Florian Tramèr, Krishnamurthy Dvijotham, J. Zico Kolter
(Certified!!) Adversarial Robustness for Free! CoRR (2022)
Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown
A Fine-Tuning Approach to Belief State Modeling. ICLR (2022)
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter
Assessing Generalization of SGD via Disagreement. ICLR (2022)
Asher Trockman, Devin Willmott, J. Zico Kolter
Understanding the Covariance Structure of Convolutional Filters. CoRR (2022)
Filipe de Avila Belbute-Peres, J. Zico Kolter
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth. CoRR (2022)
Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR (2022)
Asher Trockman, J. Zico Kolter
Patches Are All You Need? CoRR (2022)
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. CoRR (2022)
Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks. ICML (2022)
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. NeurIPS (2022)
Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. NeurIPS (2022)
Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift. NeurIPS (2022)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. CoRR (2022)
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. NeurIPS (2022)
Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter
Deep Equilibrium Optical Flow Estimation. CoRR (2022)
Shaojie Bai, Vladlen Koltun, J. Zico Kolter
Neural Deep Equilibrium Solvers. ICLR (2022)
Dylan Sam, J. Zico Kolter
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. CoRR (2022)
Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn
Learning Options via Compression. NeurIPS (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

J. Zico Kolter