Nicolas Heess

Research Scientist, Google DeepMind

Joined

December 2017

Names

Nicolas Heess

Emails

****@google.com (Confirmed)

****@deepmind.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Research Scientist

Google DeepMind (google.com)

2014 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
Noah Y. Siegel, Nicolas Heess, Maria Perez-Ortiz, Oana-Maria Camburu
- ICLR 2026 Trustworthy AI
- Readers: Everyone
Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
Noah Y. Siegel, Nicolas Heess, Maria Perez-Ortiz, Oana-Maria Camburu
- Submitted to ICLR 2026
- Readers: Everyone
LO-ARMs++: Improving Learning-Order Autoregressive Models for Molecular String Generation
Zhe Wang, Jiaxin Shi, Michalis Titsias, Arnaud Doucet, Nicolas Heess, Yee Whye Teh, Arthur Gretton
- Submitted to ICLR 2026
- Readers: Everyone
Modeling Molecular Sequences with Learning-Order Autoregressive Models
Zhe Wang, Jiaxin Shi, Nicolas Heess, Michalis Titsias, Arthur Gretton, Yee Whye Teh
- GenBio 2025 Poster
- Readers: Everyone
Faithfulness of LLM Self-Explanations for Commonsense Tasks: Larger Is Better, and Instruction-Tuning Allows Trade-Offs but Not Pareto Dominance
Noah Y. Siegel, Nicolas Heess, María Pérez-Ortiz, Oana-Maria Camburu
- CoRR 2025
- Readers: Everyone
Gemini Robotics: Bringing AI into the Physical World
Gemini Robotics Team, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Travis Armstrong, Ashwin Balakrishna, Robert Baruch, Maria Bauzá, Michiel Blokzijl, Steven Bohez, Konstantinos Bousmalis, Anthony Brohan, Thomas Buschmann, Arunkumar Byravan, Serkan Cabi, Ken Caluwaerts, Federico Casarini, Oscar Chang, José Enrique Chen et al. (80 additional authors not shown)
- CoRR 2025
- Readers: Everyone
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis K. Titsias
- CoRR 2025
- Readers: Everyone
Proc4Gem: Foundation models for physical agency through procedural generation
Yixin Lin, Jan Humplik, Sandy H. Huang, Leonard Hasenclever, Francesco Romano, Stefano Saliceti, Daniel Zheng, José Enrique Chen, Catarina Barros, Adrian Collister, Matt Young, Adil Dostmohamed, Ben Moran, Ken Caluwaerts, Marissa Giustina, Joss Moore, Kieran Connell, Francesco Nori, Nicolas Heess, Steven Bohez et al. (1 additional authors not shown)
- CoRR 2025
- Readers: Everyone
Re-evaluating Open-ended Evaluation of Large Language Models
Siqi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot
- CoRR 2025
- Readers: Everyone
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis Titsias
- ICML 2025 poster
- Readers: Everyone

View all 315 publications

Co-Authors

View all 817 co-authors