Hartford, Jason

21 publications

ICLR 2025 Efficient Biological Data Acquisition Through Inference Set Design Ihor Neporozhnii, Julien Roy, Emmanuel Bengio, Jason Hartford

ICLRW 2025 Shaping Inductive Bias in Diffusion Models Through Frequency-Based Noise Control Thomas Jiralerspong, Berton Earnshaw, Jason Hartford, Yoshua Bengio, Luca Scimeca

TMLR 2025 Sparsity Regularization via Tree-Structured Environments for Disentangled Representations Elliot Layne, Jason Hartford, Sebastien Lachapelle, Mathieu Blanchette, Dhanya Sridhar

ICML 2025 Towards Scientific Discovery with Dictionary Learning: Extracting Biological Concepts from Microscopy Foundation Models Konstantin Donhauser, Kristina Ulicna, Gemma Elyse Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, Jason Hartford

ICML 2025 ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy Kian Kenyon-Dean, Zitong Jerry Wang, John Urbanik, Konstantin Donhauser, Jason Hartford, Saber Saberian, Nil Sahin, Ihab Bendidi, Safiye Celik, Juan Sebastián Rodrı́guez Vera, Marta Fay, Imran S Haque, Oren Kraus

ICLRW 2025 Weakly Supervised Latent Variable Inference of Proximity Bias in CRISPR Gene Knockouts from Single-Cell Images Aditya Ravuri, Kristina Ulicna, Jana Osea, Konstantin Donhauser, Jason Hartford

ICLRW 2024 Active Learning to Discover Pairwise Genetic Interactions via Representation Learning Moksh Jain, Alisandra Kaye Denton, Shawn T. Whitfield, Aniket Rajiv Didolkar, Berton Earnshaw, Jason Hartford

ICLR 2024 Object Centric Architectures Enable Efficient Causal Representation Learning Amin Mansouri, Jason Hartford, Yan Zhang, Yoshua Bengio

NeurIPS 2024 Propensity Score Alignment of Unpaired Multimodal Data Johnny Xi, Jana Osea, Zuheng Xu, Jason Hartford

ICLRW 2024 Propensity Score Alignment of Unpaired Multimodal Data Johnny Xi, Jason Hartford

NeurIPSW 2024 Score-Based Interaction Testing in Pairwise Experiments Jana Osea, Zuheng Xu, Cian Eastwood, Jason Hartford

NeurIPS 2024 Targeted Sequential Indirect Experiment Design Elisabeth Ailer, Niclas Dern, Jason Hartford, Niki Kilbertus

NeurIPSW 2024 Towards Scientific Discovery with Dictionary Learning: Extracting Biological Concepts from Microscopy Foundation Models Konstantin Donhauser, Gemma Elyse Moran, Aditya Ravuri, Kian Kenyon-Dean, Kristina Ulicna, Cian Eastwood, Jason Hartford

NeurIPSW 2024 ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy Kian Kenyon-Dean, Zitong Jerry Wang, John Urbanik, Konstantin Donhauser, Jason Hartford, Saber Saberian, Nil Sahin, Ihab Bendidi, Safiye Celik, Marta Fay, Juan Sebastián Rodríguez Vera, Imran S Haque, Oren Kraus

NeurIPSW 2023 Object-Centric Architectures Enable Efficient Causal Representation Learning Amin Mansouri, Jason Hartford, Yan Zhang, Yoshua Bengio

ICML 2023 Sequential Underspecified Instrument Selection for Cause-Effect Estimation Elisabeth Ailer, Jason Hartford, Niki Kilbertus

NeurIPSW 2022 Bayesian Dynamic Causal Discovery Alexander Tong, Lazar Atanackovic, Jason Hartford, Yoshua Bengio

NeurIPSW 2022 Object-Centric Causal Representation Learning Amin Mansouri, Jason Hartford, Kartik Ahuja, Yoshua Bengio

ICLR 2022 Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning Kartik Ahuja, Jason Hartford, Yoshua Bengio

ICML 2018 Deep Models of Interactions Across Sets Jason Hartford, Devon Graham, Kevin Leyton-Brown, Siamak Ravanbakhsh

ICML 2017 Deep IV: A Flexible Approach for Counterfactual Prediction Jason Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy