Pascal Notin
9 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Cross-Pollinator (5) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12)
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Hot Topic Early Bird
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Unstoppable
(5)
Conferences
NIPS (4)
ICML (3)
CLEAR (1)
ICLR (1)
Top co-authors
Keywords
protein fitness prediction
(2)
protein language model
(2)
autoregressive transformer
(1)
black-box optimization
(1)
epistemic uncertainty
(1)
importance sampling
(1)
protein design
(1)
bayesian optimization
(1)
multimodal representation learning
(1)
benchmark dataset
(1)
variational autoencoder
(1)
molecular generation
(1)
property prediction
(1)
protein structure
(1)
latent space optimization
(1)
bayesian algorithm execution
(1)
genomic experiment design
(1)
intervention discovery
(1)
diverse mechanism
(1)
sample-efficient optimization
(1)
Papers
Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
ICML 2025
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
CLEAR 2025
Multi-Scale Representation Learning for Protein Fitness Prediction
NIPS 2024
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design
ICML 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
NIPS 2023
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
NIPS 2023
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
ICLR 2022
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval
ICML 2022
Improving black-box optimization in VAE latent space using decoder uncertainty
NIPS 2021