What Can a Single Neuron Compute? - Blaise Agüera y Arcas; Adrienne L. Fairhall; William Bialek (NIPS, 2000)

What Causes a Neuron to Spike? - Blaise Agüera y Arcas; Adrienne L. Fairhall (Neural Comput., 2003)

Computation in a Single Neuron: Hodgkin and Huxley Revisited. - Blaise Agüera y Arcas; Adrienne L. Fairhall; William Bialek (Neural Comput., 2003)

Single Neuron Computation: From Dynamical System to Feature Detector. - Sungho Hong; Blaise Agüera y Arcas; Adrienne L. Fairhall (Neural Comput., 2007)

Transparent user models for personalization. - Khalid El-Arini; Ulrich Paquet; Ralf Herbrich; Jurgen Van Gael; Blaise Agüera y Arcas (KDD, 2012)

Machine Intelligence and Human Intelligence. - Blaise Agüera y Arcas (UIST, 2015)

Federated Learning of Deep Networks using Model Averaging. - H. Brendan McMahan; Eider Moore; Daniel Ramage; Blaise Agüera y Arcas (CoRR, 2016)

Communication-Efficient Learning of Deep Networks from Decentralized Data. - Brendan McMahan; Eider Moore; Daniel Ramage; Seth Hampson; Blaise Agüera y Arcas (AISTATS, 2017)

Now Playing: Continuous low-power music recognition. - Blaise Agüera y Arcas; Beat Gfeller; Ruiqi Guo; Kevin Kilgour; Sanjiv Kumar; James Lyon; Julian Odell; Marvin Ritter; Dominik Roblek; Matthew Sharifi; Mihajlo Velimirovic (CoRR, 2017)

Decentralized Machine Learning. - Blaise Agüera y Arcas (IEEE BigData, 2018)

Generative Models for Effective ML on Private, Decentralized Datasets. - Sean Augenstein; H. Brendan McMahan; Daniel Ramage; Swaroop Ramaswamy; Peter Kairouz; Mingqing Chen; Rajiv Mathews; Blaise Agüera y Arcas (ICLR, 2020)

Image segmentation via Cellular Automata. - Mark Sandler 002; Andrey Zhmoginov; Liangcheng Luo; Alexander Mordvintsev; Ettore Randazzo; Blaise Agüera y Arcas (CoRR, 2020)

Meta-Learning Bidirectional Update Rules. - Mark Sandler 002; Max Vladymyrov; Andrey Zhmoginov; Nolan Miller; Tom Madams; Andrew Jackson 004; Blaise Agüera y Arcas (ICML, 2021)

UIBert: Learning Generic Multimodal Representations for UI Understanding. - Chongyang Bai; Xiaoxue Zang; Ying Xu; Srinivas Sunkara; Abhinav Rastogi; Jindong Chen; Blaise Agüera y Arcas (IJCAI, 2021)

A Field Guide to Federated Optimization. - Jianyu Wang; Zachary Charles; Zheng Xu 002; Gauri Joshi; H. Brendan McMahan; Blaise Agüera y Arcas; Maruan Al-Shedivat; Galen Andrew; Salman Avestimehr; Katharine Daly; Deepesh Data; Suhas N. Diggavi; et al. (CoRR, 2021)

Privacy-first health research with federated learning. - Adam Sadilek; Luyang Liu; Dung Nguyen 002; Methun Kamruzzaman; Stylianos Serghiou; Benjamin Rader; Alex Ingerman; Stefan Mellem; Peter Kairouz; Elaine O. Nsoesie; Jamie Macfarlane; Anil Vullikanti; et al. (npj Digit. Medicine, 2021)

LaMDA: Language Models for Dialog Applications. - Romal Thoppilan; Daniel De Freitas; Jamie Hall; Noam Shazeer; Apoorv Kulshreshtha; Heng-Tze Cheng; Alicia Jin; Taylor Bos; Leslie Baker; Yu Du; YaGuang Li; Hongrae Lee; et al. (CoRR, 2022)

Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning. - Zachary Charles; Kallista A. Bonawitz; Stanislav Chiknavaryan; Brendan McMahan; Blaise Agüera y Arcas (CoRR, 2022)

Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)

Towards Expert-Level Medical Question Answering with Large Language Models. - Karan Singhal; Tao Tu 001; Juraj Gottweis; Rory Sayres; Ellery Wulczyn; Le Hou; Kevin Clark; Stephen Pfohl; Heather Cole-Lewis; Darlene Neal; Mike Schaekermann; Amy Wang; et al. (CoRR, 2023)

Engaging Google Teams Through Moral Imagination: A Bottom-Up Approach for Responsible Innovation and Ethical Culture Change in Technology Companies. - Benjamin Lange; Amanda McCroskery; Ben Zevenbergen; Geoff Keeling; Sandra Blascovich; Kyle Pedersen; Alison Lentz; Blaise Agüera y Arcas (CoRR, 2023)

Towards Generalist Biomedical AI. - Tao Tu 001; Shekoofeh Azizi; Danny Driess; Mike Schaekermann; Mohamed Amin; Pi-Chuan Chang; Andrew Carroll; Chuck Lau; Ryutaro Tanno; Ira Ktena; Basil Mustafa; Aakanksha Chowdhery; et al. (CoRR, 2023)

Uncovering mesa-optimization algorithms in Transformers. - Johannes von Oswald; Eyvind Niklasson; Maximilian Schlegel; Seijin Kobayashi; Nicolas Zucchet; Nino Scherrer; Nolan Miller; Mark Sandler 002; Blaise Agüera y Arcas; Max Vladymyrov; Razvan Pascanu; João Sacramento (CoRR, 2023)

Social Learning: Towards Collaborative Learning with Large Language Models. - Amirkeivan Mohtashami; Florian Hartmann; Sian Gooding; Lukas Zilka; Matthew Sharifi; Blaise Agüera y Arcas (CoRR, 2023)

Can LLMs get help from other LLMs without revealing private information? - Florian Hartmann; Duc-Hieu Tran; Peter Kairouz; Victor Carbune; Blaise Agüera y Arcas (CoRR, 2024)

The Ethics of Advanced AI Assistants. - Iason Gabriel; Arianna Manzini; Geoff Keeling; Lisa Anne Hendricks; Verena Rieser; Hasan Iqbal; Nenad Tomasev; Ira Ktena; Zachary Kenton; Mikel Rodriguez; Seliem El-Sayed; Sasha Brown; et al. (CoRR, 2024)

LLMs achieve adult human performance on higher-order theory of mind tasks. - Winnie Street; John Oliver Siy; Geoff Keeling; Adrien Baranes; Benjamin Barnett; Michael McKibben; Tatenda Kanyere; Alison Lentz; Blaise Agüera y Arcas; Robin I. M. Dunbar (CoRR, 2024)

Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction. - Blaise Agüera y Arcas; Jyrki Alakuijala; James Evans; Ben Laurie; Alexander Mordvintsev; Eyvind Niklasson; Ettore Randazzo; Luca Versari (CoRR, 2024)

Can LLMs make trade-offs involving stipulated pain and pleasure states? - Geoff Keeling; Winnie Street; Martyna Stachaczyk; Daria Zakharova; Iulia M. Comsa; Anastasiya Sakovych; Isabella Logothesis; Zejia Zhang; Blaise Agüera y Arcas; Jonathan Birch (CoRR, 2024)

Multi-agent cooperation through learning-aware policy gradients. - Alexander Meulemans; Seijin Kobayashi; Johannes von Oswald; Nino Scherrer; Eric Elmoznino; Blake Aaron Richards; Guillaume Lajoie; Blaise Agüera y Arcas; João Sacramento (ICLR, 2025)

Engaging engineering teams through moral imagination: a bottom-up approach for responsible innovation and ethical culture change in technology companies. - Benjamin Lange; Geoff Keeling; Amanda McCroskery; Ben Zevenbergen; Sandra Blascovich; Kyle Pedersen; Alison Lentz; Blaise Agüera y Arcas (AI Ethics, 2025)

What Lives? A meta-analysis of diverse opinions on the definition of life. - Reed Bender; Karina Kofman; Blaise Agüera y Arcas; Michael Levin 001 (CoRR, 2025)

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training. - Johannes von Oswald; Nino Scherrer; Seijin Kobayashi; Luca Versari; Songlin Yang; Maximilian Schlegel; Kaitlin Maile; Yanick Schimpf; Oliver Sieberling; Alexander Meulemans; Rif A. Saurous; Guillaume Lajoie; et al. (CoRR, 2025)