Pierre-Luc Bacon

@pierrelux

Prof. at @UMontrealDIRO @MILAMontreal, co-founder at @carbonforgeai

Montreal pierrelucbacon.com Joined June 2008

758 Following 2.3K Followers 1.5K Posts

Latest posts 5

We launched @carbonforgeai with @zelaurent and Jean-Maxime Larouche last winter with a mission: make AI as efficient, accessible, and economically viable as possible.
What makes this possible is AI making AI better: AI for discovery. 🧵

CarbonForge @carbonforgeai Oct 14

An agent choosing its own experiments can confirm false findings by peeking, testing many claims, or retrying. When nothing is true, peeking alone gives 43% false supports; EvidenceTree keeps it under 2%. NeurIPS 2026 e-values workshop, by @pierrelux

carbonforge.ai/blog/testing-b…
View quoted post on X

Pierre-Luc Bacon @pierrelux Sep 26, 2025

Excited to share our new preprint on refrigerant discovery. It started as a bold idea brought by Anna Vartanyan @annadaneau, and thanks the amazing work of Adrien Goldszal, @diegocalanzone, Vincent Taboga, it became a reality. arxiv.org/abs/2509.19588

arxiv.org Discovery of Sustainable Refrigerants through Physics-Informed RL... Most refrigerants currently used in air-conditioning systems, such as hydrofluorocarbons, are potent greenhouse gases and are being phased down. Large-scale molecular screening has been applied to...

Pierre-Luc Bacon @pierrelux Jan 28, 2024

🎉Congrats to Tianwei for his remarkable intuition and dedication. Our paper provides theoretical grounding for self-predictive RL and bridges to established theories on learning approximate information states in POMDPs.

Tianwei Ni @twni2016 Jan 28, 2024

Our unification justifies *auxiliary tasks*. Training an encoder end-to-end for maximizing returns with the auxiliary task of learning ZP, as in SPR paper arxiv.org/abs/2007.05929, promises to learn self-predictive abstraction, also known as bisimulation and model-irrelevance.
View quoted post on X

Pierre-Luc Bacon @pierrelux Jan 24, 2024

🎉 Excited to share our new paper accepted at AISTATS 2024: "Maximum Entropy GFlowNets with Soft Q-Learning" 🔗 arxiv.org/abs/2312.14331. Kudos to Sobhan Mohammadpour for his stellar work in his MSc thesis!

arxiv.org Maximum entropy GFlowNets with soft Q-learning Generative Flow Networks (GFNs) have emerged as a powerful tool for sampling discrete objects from unnormalized distributions, offering a scalable alternative to Markov Chain Monte Carlo (MCMC)...

Pierre-Luc Bacon @pierrelux Jan 21, 2024

Congrats to Mahan, who is finishing his Master's thesis in beauty with this second paper.

mahan fathi @mahanfathi Jan 17, 2024

Course Correcting Koopman Representations
Accepted at #ICLR2024!

We identify problems with unrolling in imagination and propose an unconventional, simple, yet effective solution: periodically "𝒓𝒆𝒆𝒏𝒄𝒐𝒅𝒊𝒏𝒈" the latent.

📄 arxiv.org/abs/2310.15386
@GoogleDeepMind

1/🧵

View quoted post on X