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The Virtual Cell Comeback
An introduction to simulating biology
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Valence Blog
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Truly All-Atom Boltzmann sampling with AquaGen
We built a model that shows it’s possible to train a Boltzmann sampler that still works with a key ingredient of biochemical molecular dynamics: water.
Jul 1
•
Emmanuel Bengio
and
Sanjeev Raja
12
1
1
f-Trajectory Balance: a loss family that enables exploration in molecule generation, LLMs and generative models
Connect with us: Valence is constantly seeking talented individuals with diverse backgrounds and expertise to join our team.
Jun 19
•
Jason Hartford
8
1
Grounding Perturbation Prediction in Biological Knowledge
Decoding Transcriptomics Responses with TxPert
May 4
•
Ihab
7
Towards Reasoning in Virtual Cells
Bridging predict and discover with autonomous mechanistic explanations
Apr 16
•
Yunhui Jang
,
Lu Zhu
, and
Emmanuel
12
3
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Thoughts from Inside the Lab
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Reflections on ICML 2026
Reflections from ICML 2026 where over 22,500 (in-person and virtual) attendees discussed the latest breakthroughs in the AI community.
Aug 4
•
Alina Selega
7
How AI Experts Can Drive Better Collaboration in Drug Discovery
Connect with us: Valence is constantly seeking talented individuals with diverse backgrounds and expertise to join our team.
Jun 11
•
Austin Tripp
6
1
Deep Learning for Microscopy: What Are We Really Learning?
Why the field of machine learning is still struggling to know what it knows about microscopy imaging
Jun 3
•
Ihab
12
1
Inside Valence
A behind-the-scenes look at the research at Valence Labs, exploring new ways to predict, explain, and ultimately decode biology.
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