🧑‍🔬 Michael C. Mozer

🏛️ Affiliations

🎓University of Colorado BoulderBoulder · United States1988–2024 · 122 papersEmployment🏢GoogleMountain View · United States2018–2025 · 35 papersEmployment 2018–2022 · Research Scientist, Brain Team🎓University of Colorado SystemBoulder · United States1989–2021 · 24 papers🎓University of Colorado DenverDenver · United States2001–2020 · 10 papers🏢Google DeepMindLondon · United Kingdom2024–2025 · 5 papers🎓Carnegie Mellon UniversityPittsburgh · United States1986–2002 · 4 papers🎓University of TorontoToronto · Canada2002–2021 · 3 papers🎓University of California San DiegoSan Diego · United States1983–2016 · 3 papersEducation until 1987🎓Brown UniversityProvidence · United States2024–2025 · 2 papers🎓University of RochesterRochester · United States2002 · 2 papers

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

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving (2024 · 45 citations)
   The authors ask whether large language models have something like metacognitive knowledge, meaning an awareness of which skills a task calls for, and whether that awareness can be used to improve their performance.
2. AI-Assisted Generation of Difficult Math Questions (2024 · 23 citations)
   LLM training now treats mathematical reasoning as a core capability, but public sources of hard problems are largely used up.

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. Advances in Neural Information Processing Systems 5 ↗no summary yetRichard S. Zemel, Christopher K. I. Williams, Michael C. Mozer1993 · 1,854 citations
2. Object-based attention and occlusion: Evidence from normal participants and a computational model. ↗Journal of Experimental Psychology Human Perception & Performance · no summary yetMarlene Behrmann, Richard S. Zemel, Michael C. Mozer1998 · 195 citations
3. Learning to generate images with perceptual similarity metrics ↗Proceedings - International Conference on Image Processing · no summary yetJake Snell et al.2015 · 179 citations
4. Experience-dependent perceptual grouping and object-based attention. ↗Journal of Experimental Psychology Human Perception & Performance · no summary yetRichard S. Zemel et al.2002 · 101 citations
5. Learning to Segment Images Using Dynamic Feature Binding ↗Neural Computation · no summary yetMichael C. Mozer et al.1992 · 83 citations
6. Lending direction to neural networks ↗Neural Networks · no summary yetRichard S. Zemel, Christopher K. I. Williams, Michael C. Mozer1995 · 72 citations
7. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem SolvingarXiv:2405.12205Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, et al.2024 · 45 citations
8. Localist Attractor Networks ↗Neural Computation · no summary yetRichard S. Zemel, Michael C. Mozer2001 · 30 citations
9. AI-Assisted Generation of Difficult Math QuestionsarXiv:2407.21009Vedant Shah, Dingli Yu, Kaifeng Lyu, et al.2024 · 23 citations
10. Wandering Within a World: Online Contextualized Few-Shot Learning ↗arXiv (Cornell University) · no summary yetMengye Ren et al.2020 · 17 citations
11. Occlusion, symmetry, and object-based attention: Reply to Saiki (2000). ↗Journal of Experimental Psychology Human Perception & Performance · no summary yetMarlene Behrmann, Richard S. Zemel, Michael C. Mozer2000 · 16 citations
12. Directional-Unit Boltzmann Machines ↗neural information processing systems · no summary yetRichard S. Zemel, Christopher K. I. Williams, Michael C. Mozer1992 · 14 citations
13. Unsupervised learning of object models ↗no summary yetChristopher Williams, Richard S. Zemel, Michael C. Mozer1993 · 4 citations
14. A Generative Model for Attractor Dynamics ↗neural information processing systems · no summary yetRichard S. Zemel, Michael C. Mozer1999 · 2 citations
15. Learning to Segment Images Using Dynamic Feature Binding ; CU-CS-540-91 ↗CU Scholar (University of Colorado Boulder) · no summary yetMichael C. Mozer, Richard S. Zemel, Marlene Behrmann1991 · 2 citations
16. Online Unsupervised Learning of Visual Representations and Categories ↗arXiv (Cornell University) · no summary yetMengye Ren et al.2021
17. LEARNING TO GENERATE IMAGES WITH PERCEPTUAL SIMILARITY METRICS (POSTER) ↗no summary yetJake Snell et al.2017
18. LEARNING TO GENERATE IMAGES WITH PERCEPTUAL SIMILARITY METRICS (SUPPLEMENTARY MATERIAL) ↗no summary yetJake Snell et al.2017

🤝 Co-authors here

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

• Anirudh Goyal ×2
• Nan Rosemary Ke ×2
• Sanjeev Arora ×2
• Yoshua Bengio ×2
• Aniket Didolkar
• Danilo Jimenez Rezende
• Jiatong Yu
• Kaifeng Lyu
• Michal Valko
• Siyuan Guo
• Timothy Lillicrap
• Vedant Shah

Venues

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

• Journal of Experimental Psychology Human Perception & Performance ×3
• Neural Computation ×2
• neural information processing systems ×2
• CU Scholar (University of Colorado Boulder)
• Neural Networks
• Proceedings - International Conference on Image Processing

🔗 Cited by

Papers of our library cite their works 89 times (of the 149,439 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated 3 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/michael-c-mozer/