Blaise Agüera y Arcas

According to our database1, Blaise Agüera y Arcas authored at least 28 papers between 2000 and 2024.

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Bibliography

2024
Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction.
CoRR, 2024

LLMs achieve adult human performance on higher-order theory of mind tasks.
CoRR, 2024

The Ethics of Advanced AI Assistants.
CoRR, 2024

Can LLMs get help from other LLMs without revealing private information?
CoRR, 2024

2023
Social Learning: Towards Collaborative Learning with Large Language Models.
CoRR, 2023

Uncovering mesa-optimization algorithms in Transformers.
CoRR, 2023

Towards Generalist Biomedical AI.
CoRR, 2023

Engaging Google Teams Through Moral Imagination: A Bottom-Up Approach for Responsible Innovation and Ethical Culture Change in Technology Companies.
CoRR, 2023

Towards Expert-Level Medical Question Answering with Large Language Models.
CoRR, 2023

2022
Large Language Models Encode Clinical Knowledge.
CoRR, 2022

Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning.
CoRR, 2022

LaMDA: Language Models for Dialog Applications.
CoRR, 2022

2021
Privacy-first health research with federated learning.
npj Digit. Medicine, 2021

A Field Guide to Federated Optimization.
CoRR, 2021

UIBert: Learning Generic Multimodal Representations for UI Understanding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Meta-Learning Bidirectional Update Rules.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Image segmentation via Cellular Automata.
CoRR, 2020

Generative Models for Effective ML on Private, Decentralized Datasets.
Proceedings of the 8th International Conference on Learning Representations, 2020

2018
Decentralized Machine Learning.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Now Playing: Continuous low-power music recognition.
CoRR, 2017

Communication-Efficient Learning of Deep Networks from Decentralized Data.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Federated Learning of Deep Networks using Model Averaging.
CoRR, 2016

2015
Machine Intelligence and Human Intelligence.
Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 2015

2012
Transparent user models for personalization.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2007
Single Neuron Computation: From Dynamical System to Feature Detector.
Neural Comput., 2007

2003
Computation in a Single Neuron: Hodgkin and Huxley Revisited.
Neural Comput., 2003

What Causes a Neuron to Spike?
Neural Comput., 2003

2000
What Can a Single Neuron Compute?
Proceedings of the Advances in Neural Information Processing Systems 13, 2000


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