Jason Hartford
14 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(8)
🏆
Grand Slam
💎
Century Club
(13)
❓
The Questioner
Conferences
ICML (5)
ICLR (3)
AAAI (2)
NIPS (2)
EMNLP (1)
MIDL (1)
Top co-authors
Keywords
deep learning
(3)
causal inference
(3)
multimodal learning
(2)
end-to-end learning
(2)
instrumental variable
(2)
experimental design
(2)
binary classification
(1)
kernel estimation
(1)
contrastive learning
(1)
permutation equivariance
(1)
bayesian optimization
(1)
learning theory
(1)
gaussian process
(1)
nearest neighbor
(1)
machine learning
(1)
in-context learning
(1)
parameter sharing
(1)
matrix completion
(1)
domain adaptation
(1)
representation learning
(1)
Papers
Unpaired Multimodal Learning for Biological Datasets
MIDL 2026
Efficient Biological Data Acquisition through Inference Set Design
ICLR 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
EMNLP 2025
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
ICML 2025
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
ICML 2025
Object centric architectures enable efficient causal representation learning
ICLR 2024
Targeted Sequential Indirect Experiment Design
NIPS 2024
Propensity Score Alignment of Unpaired Multimodal Data
NIPS 2024
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
ICML 2023
Properties from mechanisms: an equivariance perspective on identifiable representation learning
ICLR 2022
The Perils of Learning Before Optimizing
AAAI 2022
Predicting Propositional Satisfiability via End-to-End Learning
AAAI 2020
Deep Models of Interactions Across Sets
ICML 2018
Deep IV: A Flexible Approach for Counterfactual Prediction
ICML 2017