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J. Zico Kolter

69 papers · 2006–2026 · 11 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which J. Zico Kolter?

8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Shaojie Bai, YiDing Jiang, Zhengyang Geng 33 papers · 2019–2026 · NeurIPS, CVPR, CoRL Hide ▲
Improved Mean Flows: On the Challenges of Fastforward Generative Models CVPR 2026 DEQ-MPC : Deep Equilibrium Model Predictive Control CoRL 2025 Computing Low-Entropy Couplings for Large-Support Distributions UAI 2024 Diffusing Differentiable Representations NeurIPS 2024 One-Step Diffusion Distillation through Score Implicit Matching NeurIPS 2024 Rethinking LLM Memorization through the Lens of Adversarial Compression NeurIPS 2024 Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024 Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line NeurIPS 2024 Understanding Hallucinations in Diffusion Models through Mode Interpolation NeurIPS 2024 Deep Equilibrium Based Neural Operators for Steady-State PDEs NeurIPS 2023 Language Models are Weak Learners NeurIPS 2023 Learning with Explanation Constraints NeurIPS 2023 Losses over Labels: Weakly Supervised Learning via Direct Loss Construction AAAI 2023 Neural Functional Transformers NeurIPS 2023 On the Importance of Exploration for Generalization in Reinforcement Learning NeurIPS 2023 One-Step Diffusion Distillation via Deep Equilibrium Models NeurIPS 2023 Permutation Equivariant Neural Functionals NeurIPS 2023 Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NeurIPS 2022 Characterizing Datapoints via Second-Split Forgetting NeurIPS 2022 Deep Equilibrium Approaches to Diffusion Models NeurIPS 2022 Deep Equilibrium Optical Flow Estimation CVPR 2022 Learning Options via Compression NeurIPS 2022 Path Independent Equilibrium Models Can Better Exploit Test-Time Computation NeurIPS 2022 Test Time Adaptation via Conjugate Pseudo-labels NeurIPS 2022 (Implicit)^2: Implicit Layers for Implicit Representations NeurIPS 2021 Boosted CVaR Classification NeurIPS 2021 Joint inference and input optimization in equilibrium networks NeurIPS 2021 Monte Carlo Tree Search With Iteratively Refining State Abstractions NeurIPS 2021 Denoised Smoothing: A Provable Defense for Pretrained Classifiers NeurIPS 2020 Multiscale Deep Equilibrium Models NeurIPS 2020 Deep Equilibrium Models NeurIPS 2019 Multimodal Transformer for Unaligned Multimodal Language Sequences ACL 2019 Trellis Networks for Sequence Modeling ICLR 2019
5 papers whose co-authors appear nowhere else under this name
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models NeurIPS 2024 Monotone operator equilibrium networks NeurIPS 2020 Adversarial Music: Real world Audio Adversary against Wake-word Detection System NeurIPS 2019 End-to-End Differentiable Physics for Learning and Control NeurIPS 2018 Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012

Venues · all papers under this name

NeurIPS (48) AAAI (4) CVPR (3) ICLR (3) ICML (3) AISTATS (2) JMLR (2) ACL (1) CoRL (1) IJCAI (1) UAI (1)