Earnshaw, Berton

7 publications

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

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

CVPR 2024 Masked Autoencoders for Microscopy Are Scalable Learners of Cellular Biology Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Dominique Beaini, Maciej Sypetkowski, Chi Vicky Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw

NeurIPSW 2023 Masked Autoencoders Are Scalable Learners of Cellular Morphology Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Maciej Sypetkowski, Chi Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw

CVPRW 2023 RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods Maciej Sypetkowski, Morteza Rezanejad, Saber Saberian, Oren Kraus, John Urbanik, James Taylor, Ben Mabey, Mason Victors, Jason Yosinski, Alborz Rezazadeh Sereshkeh, Imran S. Haque, Berton Earnshaw

NeurIPSW 2022 Biological Cartography: Building and Benchmarking Representations of Life Safiye Celik, Jan-Christian Huetter, Sandra Melo, Nathan Lazar, Rahul Mohan, Conor Tillinghast, Tommaso Biancalani, Marta Fay, Berton Earnshaw, Imran S Haque

NeurIPSW 2022 MolE: A Molecular Foundation Model for Drug Discovery Oscar Mendez-Lucio, Christos A Nicolaou, Berton Earnshaw