valenceai.bsky.social
Industrializing scientific discovery to radically improve lives.
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Members of the Valence team are also on the organizing committee for the LMRL workshop at #ICLR2025.
Covered topics: multimodal representation learning, connecting molecular and biological data, modelling biological perturbations, and more.
More details: lmrl.org
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We are also hiring for multiple roles across our offices in Montreal and London. If you’re interested in helping advance our mission of industrializing scientific discovery to radically improve lives, join us:
www.valencelabs.com/careers
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Third place: “ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy”
Our largest foundation model for cell microscopy to date
Paper: arxiv.org/abs/2411.02572
Kian Kenyon-Dean
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Second place: ”GFlowNet Pretraining with Inexpensive Rewards”
Atomic GFlowNets for de novo molecular design
Paper: arxiv.org/abs/2409.09702
Mohit Pandey
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First place: “How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval”
Predicting the effect of molecules on cells with MolPhenix
Paper: www.arxiv.org/abs/2409.08302
@dom-beaini.bsky.social
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5️⃣ "SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints"
Where: Machine Learning in Structural Biology workshop in East Meeting Room Rooms 11 & 12
arxiv.org/abs/2405.01155
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4⃣ “ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy”
Where: Foundation Models for Science workshop in West Meeting Room 202-204
arxiv.org/abs/2411.02572
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3⃣ “Towards Scientific Discovery with Dictionary Learning: Extracting Biological Concepts from Microscopy Foundation Models”
Where: Interpretable AI workshop in East Ballroom A, B
neurips.cc/virtual/2024...
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2⃣ “Score-Based Interaction Testing in Pairwise Experiments”
Where: Causal representation learning workshop in East Exhibition Hall C
neurips.cc/virtual/2024...
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1⃣ “Benchmarking Transcriptomics Foundation Models for Perturbation Analysis”
Where: AIDrugX workshop in West Meeting Room 109, 110
arxiv.org/abs/2410.13956
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This year, we’re following this work with “SAFE setup for generative molecular design”. Come and find us tomorrow at the AI4Mat workshop at 12 PM PT in the West Meeting Room (211-214).
Read the paper: arxiv.org/abs/2410.20232
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“ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy”
Where: Foundation Models for Science workshop in West Meeting Room 202-204
When: Dec 15th at 8:15 AM PST
arxiv.org/abs/2411.02572
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“Towards Scientific Discovery with Dictionary Learning: Extracting Biological Concepts from Microscopy Foundation Models”
Where: Interpretable AI workshop in East Ballroom A, B
When: Dec 15th at 8:15 AM PST
neurips.cc/virtual/2024...
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“Score-Based Interaction Testing in Pairwise Experiments”
Where: Causal Representation Learning workshop in East Exhibition Hall C
When: Dec 15th at 8:15 AM PST
neurips.cc/virtual/2024...
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“Benchmarking Transcriptomics Foundation Models for Perturbation Analysis”
Where: AIDrugX workshop in West Meeting Room 109, 110
When: Dec 15th at 8:15 AM PST
arxiv.org/abs/2410.13956
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“Graph Classification Gaussian Processes via Hodgelet Spectral Features”
Where: Bayesian Decision-Making and Uncertainty workshop
When: Dec 14th at 8:15 AM PST
arxiv.org/abs/2410.10546
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“SAFE setup for generative molecular design”
Where: AI4Mat workshop in West Meeting Room 211-214
When: Dec 14th at 8:15 AM PST
arxiv.org/abs/2410.20232
A follow-up from our work last year: youtu.be/oJsj5vWmD3c
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“On the Scalability of GNNs for Molecular Graphs”
Where: East Exhibit Hall A-C #3103
When: Dec 13th from 11 AM - 2 PM PST
neurips.cc/virtual/2024...
valencelabs.com/blog-posts/m...
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“Amortizing intractable inference in diffusion models for vision, language, and control”
Where: West Ballroom A-D #7101
When: Dec 12th from 4:30 - 7:30 PM PT
neurips.cc/virtual/2024...
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"QGFN: Controllable Greediness with Action Values”
Where: West Ballroom A-D #6402
When: Dec 12th from 11 - 2 PM PST
neurips.cc/virtual/2024...
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“Targeted Sequential Indirect Experiment Design”
Where: West Ballroom A-D #7106
When: Dec 12th from 11 - 2 PM PST
neurips.cc/virtual/2024...
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“Propensity Score Alignment of Unpaired Multimodal Data”
Where: East Exhibit Hall A-C #1000
When: Dec 12th from 11 - 2 PM PST
neurips.cc/virtual/2024...
youtu.be/7a29mGz9LXI
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“How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval”
Where: East Exhibit Hall A-C #1110
When: Dec 11th from 11 - 2 PM PST
portal.valencelabs.com/blogs/post/m...
neurips.cc/virtual/2024...
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“ET-Flow: Equivariant Flow Matching for Molecular Conformer Generation”
Where: East Exhibit Hall A-C #2509
When: Dec 11th from 11 - 2 PM PST
neurips.cc/virtual/2024...
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🧵 We hope OpenQDC will help advance the field of MLIP development toward a future of universal potentials with greater generalizability and robustness.
Explore the library: www.openqdc.io
Find us on GitHub: github.com/valence-labs...
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🧵 With OpenQDC, we standardized each dataset into a unified format to ensure fast loading, indexing and batching.
We also compute missing values and provide additional labels while aggregating everything for access through a simple Pythonic API.
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🧵QM data can be challenging to work with. Datasets are stored in different formats with missing info (e.g. energy, distance, force units) needed for training machine learning interatomic potentials (MLIPs).
Resources are also fragmented across code repositories and websites.