Protein Sectors: Statistical Coupling Analysis versus Conservation. - Tiberiu Tesileanu; Lucy J. Colwell; Stanislas Leibler (PLoS Comput. Biol., 2015)

Dynamics of adaptive immunity against phage in bacterial populations. - Serena Bradde; Marija Vucelja; Tiberiu Tesileanu; Vijay Balasubramanian (PLoS Comput. Biol., 2017)

Biological Learning of Irreducible Representations of Commuting Transformations. - Alexander Genkin; David Lipshutz; Siavash Golkar; Tiberiu Tesileanu; Dmitri B. Chklovskii (NeurIPS, 2022)

Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy. - Siavash Golkar; Tiberiu Tesileanu; Yanis Bahroun; Anirvan M. Sengupta; Dmitri B. Chklovskii (NeurIPS, 2022)

Neural Circuits for Dynamics-Based Segmentation of Time Series. - Tiberiu Tesileanu; Siavash Golkar; Samaneh Nasiri; Anirvan M. Sengupta; Dmitri B. Chklovskii (Neural Comput., 2022)

An Online Algorithm for Contrastive Principal Component Analysis. - Siavash Golkar; David Lipshutz; Tiberiu Tesileanu; Dmitri B. Chklovskii (ICASSP, 2023)

Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures. - Christian Pedersen; Tiberiu Tesileanu; Tinghui Wu; Siavash Golkar; Miles D. Cranmer; Zijun Zhang; Shirley Ho (CoRR, 2023)

xVal: A Continuous Number Encoding for Large Language Models. - Siavash Golkar; Mariel Pettee; Michael Eickenberg; Alberto Bietti; Miles D. Cranmer; Géraud Krawezik; François Lanusse; Michael McCabe; Ruben Ohana; Liam Holden Parker; Bruno Régaldo-Saint Blancard; Tiberiu Tesileanu; et al. (CoRR, 2023)

Multiple Physics Pretraining for Physical Surrogate Models. - Michael McCabe; Bruno Régaldo-Saint Blancard; Liam Holden Parker; Ruben Ohana; Miles D. Cranmer; Alberto Bietti; Michael Eickenberg; Siavash Golkar; Géraud Krawezik; François Lanusse; Mariel Pettee; Tiberiu Tesileanu; et al. (CoRR, 2023)

AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models. - François Lanusse; Liam Holden Parker; Siavash Golkar; Miles D. Cranmer; Alberto Bietti; Michael Eickenberg; Géraud Krawezik; Michael McCabe; Ruben Ohana; Mariel Pettee; Bruno Régaldo-Saint Blancard; Tiberiu Tesileanu; et al. (CoRR, 2023)

Multiple Physics Pretraining for Spatiotemporal Surrogate Models. - Michael McCabe; Bruno Régaldo-Saint Blancard; Liam Holden Parker; Ruben Ohana; Miles D. Cranmer; Alberto Bietti; Michael Eickenberg; Siavash Golkar; Géraud Krawezik; François Lanusse; Mariel Pettee; Tiberiu Tesileanu; et al. (NeurIPS, 2024)