Debora Marks
10 papers · 2017–2024 · 4 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
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Century Club Β· Bronze
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Machine Learning
(8)
Deep Learning
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Optimization & Theory
(6)
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Artificial Intelligence
(4)
Healthcare & Medicine
(3)
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Bayesian & Probabilistic Β· Artificial Intelligence
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Bayesian & Probabilistic Β· Machine Learning
(2)
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Interdisciplinary
(1)
Mathematics & Optimization
(1)
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(1)
Keywords
protein language model
(2)
protein fitness prediction
(2)
generative model
(2)
probabilistic modeling
(2)
monte carlo sampling
(1)
black-box optimization
(1)
multi-task learning
(1)
density estimation
(1)
autoregressive transformer
(1)
gibbs sampling
(1)
bayesian inference
(1)
protein design
(1)
bayesian optimization
(1)
markov model
(1)
autoregressive model
(1)
variational inference
(1)
multimodal representation learning
(1)
benchmark dataset
(1)
energy-based model
(1)
bayesian nonparametrics
(1)
Papers
Multi-Scale Representation Learning for Protein Fitness Prediction
NeurIPS 2024
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
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness
NeurIPS 2022
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models
AISTATS 2022
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval
ICML 2022
A generative nonparametric Bayesian model for whole genomes
NeurIPS 2021
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting
ICML 2021
Learning Protein Structure with a Differentiable Simulator
ICLR 2019
Variational Inference for Sparse and Undirected Models
ICML 2017