Richmond, David

9 publications

ICLR 2025 Contextualizing Biological Perturbation Experiments Through Language Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter

ICLRW 2025 Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction Sepideh Maleki, Jan-Christian Huetter, David Richmond, Kangway V. Chuang, Gabriele Scalia, Tommaso Biancalani

ICLRW 2025 Supervised Contrastive Block Disentanglement Taro Makino, Ji Won Park, Natasa Tagasovska, Takamasa Kudo, Paula Coelho, Heming Yao, Jan-Christian Huetter, Ana Carolina Leote, Burkhard Hoeckendorf, Stephen Ra, David Richmond, Kyunghyun Cho, Aviv Regev, Romain Lopez

NeurIPSW 2024 Contextualizing Biological Perturbation Experiments Through Language Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter

CVPRW 2024 Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening Mahtab Bigverdi, Burkhard Höckendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond

NeurIPS 2024 Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mad, Romain Lopez, Kai Liu, Jan-Christian Huetter, David Richmond, Panayiotis V. Benos, Lin Qiu

ICLRW 2024 Multi-ContrastiveVAE Disentangles Perturbation Effects in Single Cell Images from Optical Pooled Screens Zitong Jerry Wang, Romain Lopez, Jan-Christian Huetter, Takamasa Kudo, Heming Yao, Philipp Hanslovsky, Burkhard Hoeckendorf, Rahul Ram Mohan, David Richmond, Aviv Regev

CVPRW 2024 Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond

ECCVW 2018 Pre-Training on Grayscale ImageNet Improves Medical Image Classification Yiting Xie, David Richmond