Kolter, J. Zico

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Bai, S., Kolter, J. Z., & Koltun, V. (2018) · arXiv

Speech Recognition and SynthesisTopic Modeling

Cited by 4,655

Multimodal Transformer for Unaligned Multimodal Language Sequences

Tsai, Y.-H. H., Bai, S., Liang, P. P., Kolter, J. Z., Morency, L.-P., & Salakhutdinov, R. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Multimodal Machine Learning ApplicationsTime Series Analysis and Forecasting

Cited by 2,259

Towards fully autonomous driving: Systems and algorithms

Levinson, J., Askeland, J., Becker, J., Dolson, J., Held, D., Kammel, S., Kolter, J. Z., Langer, D., Pink, O., Pratt, V., et al. (2011) · 2011 IEEE Intelligent Vehicles Symposium (IV)

Autonomous Vehicle Technology and SafetyRobotics and Sensor-Based Localization

Cited by 1,374

Deep Equilibrium Models

Bai, S., Kolter, J. Z., & Koltun, V. (2019) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 338

Universal and Transferable Adversarial Attacks on Aligned Language Models

Zou, A., Wang, Z., Carlini, N., Nasr, M., Kolter, J. Z., & Fredrikson, M. (2023) · arXiv

Adversarial Robustness in Machine LearningSpeech Recognition and Synthesis

Cited by 197

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

Belbute-Peres, F. D. A., Economon, T. D., & Kolter, J. Z. (2020) · arXiv

Model Reduction and Neural NetworksComputational Fluid Dynamics and Aerodynamics

Cited by 152

Wasserstein Adversarial Examples via Projected Sinkhorn Iterations

Wong, E., Schmidt, F. R., & Kolter, J. Z. (2019) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 145

Uniform convergence may be unable to explain generalization in deep learning

Nagarajan, V., & Kolter, J. Z. (2019) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Algorithms

Cited by 118

A Simple and Effective Pruning Approach for Large Language Models

Sun, M., Liu, Z., Bair, A., & Kolter, J. Z. (2023) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 92

Representation Engineering: A Top-Down Approach to AI Transparency

Zou, A., Phan, L., Chen, S., Campbell, J., Guo, P., Ren, R., Pan, A., Yin, X., Mazeika, M., Dombrowski, A.-K., et al. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 65

Agreement-On-The-Line: Predicting the Performance of Neural Networks Under Distribution Shift

Baek, C., Jiang, Y., Raghunathan, A., & Kolter, J. Z. (2022) · Advances in Neural Information Processing Systems 35

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 20

Massive Activations in Large Language Models

Sun, M., Chen, X., Kolter, J. Z., & Liu, Z. (2024) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 8

Losses over Labels: Weakly Supervised Learning via Direct Loss Construction

Sam, D., & Kolter, J. Z. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 6

Rethinking LLM Memorization through the Lens of Adversarial Compression

Schwarzschild, A., Feng, Z., Maini, P., Lipton, Z. C., & Kolter, J. Z. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 5

Open technical problems in open-weight ai model risk management

Casper, S., O'Brien, K., Longpre, S., Seger, E., Klyman, K., Bommasani, R., Nrusimha, A., Shumailov, I., Mindermann, S., Basart, S., et al. (2025) · SSRN Electronic Journal

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 3

Idiosyncrasies in Large Language Models

Sun, M., Yin, Y., Xu, Z., Kolter, J. Z., & Liu, Z. (2025) · arXiv

Topic ModelingAuthorship Attribution and Profiling

Cited by 3

Antidistillation Sampling

Savani, Y., Trockman, A., Feng, Z., Xu, Y. E., Schwarzschild, A., Robey, A., Finzi, M., & Kolter, J. Z. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 1

Mamba-3: Improved Sequence Modeling using State Space Principles

Lahoti, A., Li, K. Y., Chen, B., Wang, C., Bick, A., Kolter, J. Z., Dao, T., & Gu, A. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Training a Generally Curious Agent

Tajwar, F., Jiang, Y., Thankaraj, A., Rahman, S. S., Kolter, J. Z., Schneider, J., & Salakhutdinov, R. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0