1 citations · 1 across the 5 of their papers we have counts for
6 papers
PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United States
Arya Kondur, Giosue Migliorini, Cameron Schmitt +14
Wildfires are an increasing hazard to ecosystems, air quality, and human systems, creating a growing need for datasets that support systematic development and evaluation of models…
PairSAE: Mechanistic Interpretability from Pair Representations in Protein Co-Folding
Giosue Migliorini, Aristofanis Rontogiannis, Grigori Guitchounts +3
Foundation models for structural biology have achieved remarkable performance in predicting biomolecular structure and show promise for the design of proteins and small molecules.…
Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space
Giosue Migliorini, Padhraic Smyth
Systems of interacting continuous-time Markov chains are a powerful model class, but inference is typically intractable in high dimensional settings. Auxiliary information, such as…
A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations
Clement Guilloteau, Gavin Kerrigan, Kai Nelson +4
A generative diffusion model is used to produce probabilistic ensembles of precipitation intensity maps at the 1-hour 5-km resolution. The generation is conditioned on infrared and…
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
We study the geometry of conditional optimal transport (COT) and prove a dynamical formulation which generalizes the Benamou-Brenier Theorem. Equipped with these tools, we propose…
Functional Flow Matching
Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
We propose Functional Flow Matching (FFM), a function-space generative model that generalizes the recently-introduced Flow Matching model to operate in infinite-dimensional spaces.…