---
title: "Zico Kolter — author profile and papers — Elamur Research"
description: "Zico Kolter, Carnegie Mellon University: 2 papers on Elamur Research (2024–2025), h-index 52 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/zico-kolter/"
---
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# Zico Kolter

Zico Kolter has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Aditi Raghunathan](https://md.research.elamur.ai/free/en/authors/aditi-raghunathan/), [Andy Zou](https://md.research.elamur.ai/free/en/authors/andy-zou/), [Dan Hendrycks](https://md.research.elamur.ai/free/en/authors/dan-hendrycks/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5075035644) · [ORCID](https://orcid.org/0000-0002-8106-5759) · [**h-index 52**](https://openalex.org/authors/A5075035644) · [318 works](https://openalex.org/works?filter=author.id:A5075035644) · [18,912 citations](https://openalex.org/works?filter=author.id:A5075035644&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zico-kolter/#papers) · [🔗 Cited 1,787 times in our library](https://md.research.elamur.ai/free/en/authors/zico-kolter/cited-by/) · [16 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8581](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8581)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zico+Kolter) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zico+Kolter) · [dblp](https://dblp.org/search?q=Zico+Kolter) · [ACL Anthology](https://aclanthology.org/search/?q=Zico+Kolter)

## Affiliations

[🎓**Carnegie Mellon University** Pittsburgh · United States 2013–2026 · 174 papers*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Robert Bosch** Farmington Hills · United States 2019–2025 · 34 papers](https://md.research.elamur.ai/free/en/companies/robert-bosch/) · [🏢**Robert Bosch** Bengaluru · India 2019–2025 · 23 papers](https://md.research.elamur.ai/free/en/companies/robert-bosch-india/) · [🏢**Robert Bosch** Taipei · Taiwan 2019–2024 · 18 papers](https://md.research.elamur.ai/free/en/companies/robert-bosch-taiwan/) · [🎓**Stanford University** Stanford · United States 2007–2011 · 12 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2010–2018 · 8 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🏢**Robert Bosch** Stuttgart · Germany 2019–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/robert-bosch-germany/) · [🎓**Georgetown University** Washington · United States 2004–2005 · 3 papers](https://md.research.elamur.ai/free/en/universities/georgetown-university/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2011–2012 · 2 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zico-kolter/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zico-kolter/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Improving Alignment and Robustness with Circuit Breakers](https://md.research.elamur.ai/free/en/papers/zou-2024-improving-alignment-robustness-circuit-breakers/)** *(2024 · 83 citations)* Language models trained to refuse harmful requests can still be jailbroken. Adversarial training usually protects only against attacks seen during training, and it reduces capability. Zou et al. propose "circuit breakers," which change the model's internal representations instead of patching individual attack routes.…
2. **[Weight Ensembling Improves Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/dang-2025-weight-ensembling-improves-reasoning-language/)** *(2025 · 10 citations)* When reasoning models are trained with supervised finetuning (SFT), the variety of their outputs shrinks. Pass@1 keeps rising, but Pass@k peaks early and then falls, which weakens test-time scaling methods such as majority voting or reranking with a reward model. The authors finetune Gemma-2-2B and Qwen-2.5-0.5B on…

## All works

18 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Using additive expert ensembles to cope with concept drift ↗](https://doi.org/10.1145/1102351.1102408) International Conference on Machine Learning · no summary yet**J. Zico Kolter, Marcus A. Maloof*2005 · 261 citations*
2. **[Near-Bayesian exploration in polynomial time ↗](https://doi.org/10.1145/1553374.1553441) International Conference on Machine Learning · no summary yet**J. Zico Kolter, Andrew Ng*2009 · 232 citations*
3. **[Regularization and feature selection in least-squares temporal difference learning ↗](https://doi.org/10.1145/1553374.1553442) International Conference on Machine Learning · no summary yet**J. Zico Kolter, Andrew Ng*2009 · 176 citations*
4. **[Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification ↗](https://openalex.org/W3212827451) neural information processing systems · no summary yet**Shiqi Wang et al.*2021 · 106 citations*
5. **[Mean Flows for One-step Generative Modeling ↗](https://doi.org/10.52202/085713-2534) neural information processing systems · no summary yet**Zhengyang Geng et al.*2025 · 83 citations*
6. **[Improving Alignment and Robustness with Circuit Breakers](https://md.research.elamur.ai/free/en/papers/zou-2024-improving-alignment-robustness-circuit-breakers/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Andy Zou, Long Phan, Justin Wang, et al.*2024 · 83 citations*
7. **[Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability ↗](https://arxiv.org/abs/2103.00065) arXiv (Cornell University) · no summary yet**Cohen, Jeremy M. et al.*2021 · 36 citations*
8. **[Improved Mean Flows: On the Challenges of Fastforward Generative Models ↗](https://arxiv.org/abs/2512.02012) arXiv (Cornell University) · no summary yet**Zhengyang Geng et al.*2025 · 12 citations*
9. **[Training a Generally Curious Agent ↗](https://arxiv.org/abs/2502.17543) arXiv (Cornell University) · no summary yet**Fahim Tajwar et al.*2025 · 11 citations*
10. [**Weight Ensembling Improves Reasoning in Language Models arXiv:2504.10478 · COLM 2025**Xingyu Dang, Christina Baek, Kaiyue Wen, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/dang-2025-weight-ensembling-improves-reasoning-language/)
11. **[Manifold Preserving Guided Diffusion ↗](https://arxiv.org/abs/2311.16424) arXiv (Cornell University) · no summary yet**He, Yutong et al.*2023 · 8 citations*
12. **[Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation ↗](https://arxiv.org/abs/2403.19103) arXiv (Cornell University) · no summary yet**He, Yutong et al.*2024 · 5 citations*
13. **[Localized Text-to-Image Generation for Free via Cross Attention Control ↗](https://arxiv.org/abs/2306.14636) arXiv (Cornell University) · no summary yet**He, Yutong, Ruslan Salakhutdinov, J. Zico Kolter*2023 · 4 citations*
14. **[On Proximal Policy Optimization's Heavy-tailed Gradients ↗](https://arxiv.org/abs/2102.10264) arXiv (Cornell University) · no summary yet**Garg, Saurabh et al.*2021 · 3 citations*
15. **[Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing ↗](https://arxiv.org/abs/2512.09882) arXiv (Cornell University) · no summary yet**Justin W. Lin et al.*2025 · 1 citation*
16. **[Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models ↗](https://arxiv.org/abs/2512.02636) arXiv (Cornell University) · no summary yet**Ai, Xinyue et al.*2025 · 1 citation*
17. **[Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation ↗](https://arxiv.org/abs/2506.07822) arXiv (Cornell University) · no summary yet**Duan, Xintong et al.*2025*
18. **[Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion ↗](https://arxiv.org/abs/2412.00557) arXiv (Cornell University) · no summary yet**Michail Dontas et al.*2024*

## Co-authors here

8 co-authors with a page, the most papers together first.

- [Aditi Raghunathan](https://md.research.elamur.ai/free/en/authors/aditi-raghunathan/)
- [Andy Zou](https://md.research.elamur.ai/free/en/authors/andy-zou/)
- [Dan Hendrycks](https://md.research.elamur.ai/free/en/authors/dan-hendrycks/)
- [Kaiyue Wen](https://md.research.elamur.ai/free/en/authors/kaiyue-wen/)
- [Long Phan](https://md.research.elamur.ai/free/en/authors/long-phan/)
- [Maksym Andriushchenko](https://md.research.elamur.ai/free/en/authors/maksym-andriushchenko/)
- [Matt Fredrikson](https://md.research.elamur.ai/free/en/authors/matt-fredrikson/)
- [Xingyu Dang](https://md.research.elamur.ai/free/en/authors/xingyu-dang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×3: [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- International Conference on Machine Learning ×3
- neural information processing systems ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)

## Cited by

Papers of our library cite their works 1,787 times (of the 149,439 papers whose bibliographies we read); [428 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zico-kolter/cited-by/).

Updated 3 November 2026