Fradkin, Philip

9 publications

ICLRW 2024 Contrastive RNA Representation Learning Through Maximizing Mutual Information Between Splice Isoforms Philip Fradkin, Ruian Shi, Keren Isaev, Caitlin Fiona Harrigan, Quaid Morris, Bo Wang, Brendan Frey, Leo J Lee

NeurIPS 2024 How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval Philip Fradkin, Puria Azadi, Karush Suri, Frederik Wenkel, Ali Bashashati, Maciej Sypetkowski, Dominique Beaini

NeurIPSW 2024 Molphenix: A Multimodal Foundation Model for PhenoMolecular Retrieval Philip Fradkin, Puria Azadi Moghadam, Karush Suri, Frederik Wenkel, Maciej Sypetkowski, Dominique Beaini

NeurIPSW 2024 Molphenix: A Multimodal Foundation Model for PhenoMolecular Retrieval Philip Fradkin, Puria Azadi Moghadam, Karush Suri, Frederik Wenkel, Maciej Sypetkowski, Dominique Beaini

NeurIPS 2024 On the Scalability of GNNs for Molecular Graphs Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini

ICLRW 2024 On the Scalability of GNNs for Molecular Graphs Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini

NeurIPSW 2024 Orthrus: Towards Evolutionary and Functional RNA Foundation Models Philip Fradkin, Ruian Shi, Keren Isaev, Brendan Frey, Quaid Morris, Leo J Lee, Bo Wang

NeurIPSW 2022 Energy-Based Modelling for Single-Cell Data Annotation Tianyi Liu, Philip Fradkin, Lazar Atanackovic, Leo J Lee

ICMLW 2022 Robustness to Adversarial Gradients: A Glimpse into the Loss Landscape of Contrastive Pre-Training Philip Fradkin, Lazar Atanackovic, Michael R. Zhang