João G. M. Araújo

According to our database, João G. M. Araújo authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Generative Data Refinement: Just Ask for Better Data.

Minqi Jiang, João G. M. Araújo, Will Ellsworth, Sian Gooding, Edward Grefenstette

CoRR, September, 2025

What Makes a Good Feedforward Computational Graph?

Alex Vitvitskyi, João Guilherme Madeira Araújo, Marc Lackenby, Petar Velickovic

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Wasserstein Policy Optimization.

David Pfau, Ian Davies, Diana L. Borsa, João Guilherme Madeira Araújo, Brendan D. Tracey, Hado van Hasselt

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Categorical Deep Learning: An Algebraic Theory of Architectures.

Bruno Gavranovic, Paul Lessard, Andrew Dudzik, Tamara von Glehn, João G. M. Araújo, Petar Velickovic

CoRR, 2024

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.

Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi

CoRR, 2024

On the consistency of hyper-parameter selection in value-based deep reinforcement learning.

Johan S. Obando-Ceron, João Guilherme Madeira Araújo, Aaron C. Courville, Pablo Samuel Castro

RLJ, 2024

Transformers need glasses! Information over-squashing in language tasks.

Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João Guilherme Madeira Araújo, Oleksandr Vitvitskyi, Razvan Pascanu, Petar Velickovic

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Position: Categorical Deep Learning is an Algebraic Theory of All Architectures.

Bruno Gavranovic, Paul Lessard, Andrew Joseph Dudzik, Tamara von Glehn, João Guilherme Madeira Araújo, Petar Velickovic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms.

Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga, Dipam Chakraborty, Kinal Mehta, João G. M. Araújo

J. Mach. Learn. Res., 2022

Scalable Training of Language Models using JAX pjit and TPUv4.

Joanna Yoo, Kuba Perlin, Siddhartha Rao Kamalakara, João G. M. Araújo

CoRR, 2022

2021

No News is Good News: A Critique of the One Billion Word Benchmark.

Helen Ngo, João G. M. Araújo, Jeffrey Hui, Nicholas Frosst

CoRR, 2021

Mitigating harm in language models with conditional-likelihood filtration.

Helen Ngo, Cooper Raterink, João G. M. Araújo, Ivan Zhang, Carol Chen, Adrien Morisot, Nicholas Frosst

CoRR, 2021