Diamant, Nathaniel Lee

10 publications

ICLRW 2024 A Mechanistically Interpretable Neural-Network Architecture for Discovery of Regulatory Genomics Alex M Tseng, Gökcen Eraslan, Nathaniel Lee Diamant, Tommaso Biancalani, Gabriele Scalia

ICML 2024 Feedback Efficient Online Fine-Tuning of Diffusion Models Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M Tseng, Sergey Levine, Tommaso Biancalani

NeurIPSW 2024 Learning Multi-Cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Lee Diamant, Missarova Alsu, Minsheng Hao, Hanchen, Hector Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg

ICMLW 2023 Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion Alex M Tseng, Nathaniel Lee Diamant, Tommaso Biancalani, Gabriele Scalia

ICLRW 2023 GraphGUIDE: Interpretable and Controllable Conditional Graph Generation with Discrete Bernoulli Diffusion Alex M Tseng, Nathaniel Lee Diamant, Tommaso Biancalani, Gabriele Scalia

ICML 2023 Improving Graph Generation by Restricting Graph Bandwidth Nathaniel Lee Diamant, Alex M Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia

ICLRW 2023 Improving Graph Generation by Restricting Graph Bandwidth Nathaniel Lee Diamant, Alex M Tseng, Kangway V Chuang, Tommaso Biancalani, Gabriele Scalia

NeurIPSW 2022 A 3D-Shape Similarity-Based Contrastive Approach to Molecular Representation Learning Austin Atsango, Nathaniel Lee Diamant, Ziqing Lu, Tommaso Biancalani, Gabriele Scalia, Kangway V Chuang

NeurIPSW 2022 Deep Fitness Inference for Drug Discovery with Directed Evolution Nathaniel Lee Diamant, Ziqing Lu, Christina Helmling, Kangway V Chuang, Christian Cunningham, Tommaso Biancalani, Gabriele Scalia, Max W Shen

NeurIPSW 2022 STab: Self-Supervised Learning for Tabular Data Ehsan Hajiramezanali, Nathaniel Lee Diamant, Gabriele Scalia, Max W Shen