My primary research interest is in deep learning for science. In particular, I'm interested in figuring out how neural networks learn and store information so that they are useful for scientific discovery.
Some general questions I think about are: 1) when can domain knowledge allow us to impose an inductive bias on otherwise untethered neural networks, and how can we impose them most effectively? 2) where are current AI methods insufficient for extracting scientific knowledge that has been implicitly learned by neural networks, and how can we address this?
Tseng, A.M., Diamant, N., Biancalani, T., Scalia, G. Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion. arXiv (2023). [Link]
Grambow, C.A., Weir, H., Diamant, N., Tseng, A.M., Biancalani, T., Scalia, G., Chuang, K. RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion. arXiv (2023). [Link]
Diamant, N., Tseng, A.M., Chuang, K., Biancalani, T., Scalia, G. Improving Graph Generation by Restricting Graph Bandwidth. ICML (2023). [Link]
Tseng, A.M., Diamant, N., Biancalani, T., Scalia, G. GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion. Machine Learning for Drug Discovery (2023). [Link]
Tseng, A.M., Biancalani, T., Shen, M., Scalia, G. Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation. arXiv (2022). [Link]
Shen, M.W., Hajiramezanali, E., Scalia, G., Tseng, A.M., Diamant, N., Biancalani, T., Loukas, A. Conditional Diffusion with Less Explicit Guidance via Model Predictive Control. arXiv (2022). [Link]
Ludwig, L., Lareau, C.A., Bao, E.L., Liu, N., Utsugisawa, T., Tseng, A.M., ..., Sankaran, V.G. A Congenital Anemia Reveals Distinct Targeting Mechanisms for Master Transcription Factor GATA1. Blood (2022). [Link]
Tseng, A.M., Shrikumar, A., Kundaje, A. Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics. NeurIPS (2020). [Link].
Heavner, W.E., Ji, S., Notwell, J.H., Dyer, E.S., Tseng, A.M., Birgmeier, J.B., Yoo, B., Bejerano, G., McConnell, S.K. Transcription factor expression defines subclasses of developing projection neurons highly similar to single-cell RNA-seq subtypes. Proceedings of the National Academy of Sciences (2020). [Link].
Jones, E.M., Lubock, N.B., Venkatakrishnan, A., Wang, J., Tseng, A.M., Paggi, J.M., Latorraca, N.R., Cancilla, D., Satyadi, M., Davis, J.E., Babu, M.M., Dror, R.O., Kosuri, S. Structural and Functional Characterization of G Protein-Coupled Receptors with Deep Mutational Scanning. eLife (2020). [Link].