← Authors

J. Zico Kolter

68 papers · 2006–2025 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (19) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (10) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (108) 🏠 Conference Loyalist (48) πŸ”¬ Deep Specialist (18) πŸ† Grand Slam πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (311) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (68) πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

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

Top co-authors

Shaojie Bai (8) Huan Zhang (6) YiDing Jiang (6) Brandon Amos (5) Fei Fang (4) Pratyush Maini (4) Samuel Sokota (4) Ashwini Pokle (4) Zhengyang Geng (4) Po-Wei Wang (4)

Research topics

Privacy (1)

Keywords

neural network (8) generative model (6) diffusion model (5) deep learning (4) deep equilibrium model (4) neural network verification (4) adversarial robustness (4) image generation (4) semidefinite programming (4) reinforcement learning (4) representation learning (3) branch and bound (3) deep equilibrium (3) bound propagation (3) fixed point (3) convex optimization (3) neural network architecture (3) implicit neural representation (3) end-to-end learning (3) robust optimization (2)

Papers

DEQ-MPC : Deep Equilibrium Model Predictive Control CORL 2025
Computing Low-Entropy Couplings for Large-Support Distributions UAI 2024
Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024
Understanding Hallucinations in Diffusion Models through Mode Interpolation NIPS 2024
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line NIPS 2024
One-Step Diffusion Distillation through Score Implicit Matching NIPS 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression NIPS 2024
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models NIPS 2024
Diffusing Differentiable Representations NIPS 2024
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games AAAI 2023
On the Importance of Exploration for Generalization in Reinforcement Learning NIPS 2023
Deep Equilibrium Based Neural Operators for Steady-State PDEs NIPS 2023
Permutation Equivariant Neural Functionals NIPS 2023
One-Step Diffusion Distillation via Deep Equilibrium Models NIPS 2023
Learning with Explanation Constraints NIPS 2023
Language Models are Weak Learners NIPS 2023
Neural Functional Transformers NIPS 2023
Provably Bounding Neural Network Preimages NIPS 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction AAAI 2023
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NIPS 2022
Learning Options via Compression NIPS 2022
Characterizing Datapoints via Second-Split Forgetting NIPS 2022
The Pitfalls of Regularization in Off-Policy TD Learning NIPS 2022
Deep Equilibrium Approaches to Diffusion Models NIPS 2022
Deep Equilibrium Optical Flow Estimation CVPR 2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification NIPS 2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation NIPS 2022
Test Time Adaptation via Conjugate Pseudo-labels NIPS 2022
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation NIPS 2022
Joint inference and input optimization in equilibrium networks NIPS 2021
Monte Carlo Tree Search With Iteratively Refining State Abstractions NIPS 2021
Robustness between the worst and average case NIPS 2021
Adversarially robust learning for security-constrained optimal power flow NIPS 2021
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification NIPS 2021
Boosted CVaR Classification NIPS 2021
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds NIPS 2021
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations NIPS 2021
Community detection using fast low-cardinality semidefinite programming NIPS 2020
Differentiable learning of numerical rules in knowledge graphs ICLR 2020
Fast is better than free: Revisiting adversarial training ICLR 2020
Deep Archimedean Copulas NIPS 2020
Efficient semidefinite-programming-based inference for binary and multi-class MRFs NIPS 2020
Multiscale Deep Equilibrium Models NIPS 2020
Monotone operator equilibrium networks NIPS 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers NIPS 2020
Deep Equilibrium Models NIPS 2019
Low-Rank Semidefinite Programming for the MAX2SAT Problem AAAI 2019
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games AAAI 2019
Multimodal Transformer for Unaligned Multimodal Language Sequences ACL 2019
A Continuous-Time View of Early Stopping for Least Squares Regression AISTATS 2019
Trellis Networks for Sequence Modeling ICLR 2019
Adversarial Music: Real world Audio Adversary against Wake-word Detection System NIPS 2019
Differentiable Convex Optimization Layers NIPS 2019
Learning Stable Deep Dynamics Models NIPS 2019
Uniform convergence may be unable to explain generalization in deep learning NIPS 2019
Differentiable MPC for End-to-end Planning and Control NIPS 2018
End-to-End Differentiable Physics for Learning and Control NIPS 2018
What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games IJCAI 2018
Scaling provable adversarial defenses NIPS 2018
OptNet: Differentiable Optimization as a Layer in Neural Networks ICML 2017
Gradient descent GAN optimization is locally stable NIPS 2017
A Semismooth Newton Method for Fast, Generic Convex Programming ICML 2017
Task-based End-to-end Model Learning in Stochastic Optimization NIPS 2017
Input Convex Neural Networks ICML 2017
The Multiple Quantile Graphical Model NIPS 2016
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007
Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006