Tseng, Alex M

9 publications

ICLRW 2025 Uncovering BioLOGICAL Motifs and Syntax via Sufficient and Necessary Explanations Beepul Bharti, Gabriele Scalia, Tommaso Biancalani, Alex M Tseng

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

NeurIPS 2024 GFlowNet Assisted Biological Sequence Editing Pouya M. Ghari, Alex M. Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, Ehsan Hajiramezanali

TMLR 2024 Hierarchically Branched Diffusion Models Leverage Dataset Structure for Class-Conditional Generation Alex M Tseng, Max W Shen, Tommaso Biancalani, Gabriele Scalia

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