Pascal Notin
9 papers · 2021–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Healthcare & Medicine
(3)
Core AI
(3)
Core Methods
(3)
Research
(3)
Architectures
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Interdisciplinary
(1)
Application Areas
(1)
Learning Types · Deep Learning
(1)
Science
(1)
Keywords
protein language model
(2)
drug discovery
(2)
protein fitness prediction
(2)
representation learning
(1)
autoregressive transformer
(1)
black-box optimization
(1)
multi-task learning
(1)
epistemic uncertainty
(1)
importance sampling
(1)
experimental design
(1)
protein design
(1)
bayesian optimization
(1)
multimodal representation learning
(1)
benchmark dataset
(1)
variational autoencoder
(1)
benchmark suite
(1)
molecular generation
(1)
property prediction
(1)
reinforcement learning
(1)
active learning
(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
NeurIPS 2024
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design
ICML 2023
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
NeurIPS 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
NeurIPS 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
NeurIPS 2021