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Ian Fischer

Ian Fischer has 2 papers in our library, in 2018–2024; often with David Ha, Hiroki Furuta, Honglak Lee.

2 papers in our library · 2018–2024

OpenAlex · ORCID · Wikidata · h-index 16 · 32 works · 4,481 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 230 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #4578

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢GoogleMountain View · United States2015–2022 · 19 papersEmployment since 2015
🏛️Google IncMountain View · United States2015Employment since 2015 · Research
🎓University of California, BerkeleyBerkeley · United States2011Education since 2011 · Computer Science🎓Harvard UniversityCambridge · United States2003–2007Education 2003–2007 · Science Masters, Computer Science

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

 Works by year

2020s

20241 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Learning Latent Dynamics for Planning from Pixels (2018 · 394 citations)
    Planning works well when an agent knows how its environment behaves. Learning such dynamics from raw images accurately enough to plan with them has long been difficult. PlaNet (Deep Planning Network) addresses this. It is a fully model-based agent that learns a compact latent dynamics model from 64×64 pixel…
  2. A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts (2024 · 46 citations)
    Large language models have a hard limit on input length, and their accuracy often drops on long inputs well before that limit.

All works

5 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. Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJonathan Huang et al.2017 · 2,748 citations
  2. Learning Latent Dynamics for Planning from PixelsarXiv:1811.04551Danijar Hafner, Timothy Lillicrap, Ian Fischer, et al.2018 · 394 citations
  3. Adversarial Examples for Generative Models ↗IEEE Security and Privacy Workshops (SPW) · no summary yetJernej Kos, Ian Fischer, Dawn Xiaodong Song2018 · 238 citations
  4. A Human-Inspired Reading Agent with Gist Memory of Very Long ContextsarXiv:2402.09727Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, et al.2024 · 46 citations
  5. Evolving Deeper LLM Thinking ↗arXiv:2501.09891 · no summary yetKuang-Huei Lee et al.2025 · 37 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 230 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ian-fischer/