67 citations · 71 across the 3 of their papers we have counts for
5 papers
On Invariance Penalties for Risk Minimization
Kia Khezeli, Arno Blaas, Frank Soboczenski +2
The Invariant Risk Minimization (IRM) principle was first proposed by Arjovsky et al. [2019] to address the domain generalization problem by leveraging data heterogeneity from diff…
Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft
Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju +1
Future short or long-term space missions require a new generation of monitoring and diagnostic systems due to communication impasses as well as limitations in specialized crew and…
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Byron C. Wallace, Sayantan Saha, Frank Soboczenski +1
We consider the problem of automatically generating a narrative biomedical evidence summary from multiple trial reports. We evaluate modern neural models for abstractive summarizat…
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
Adam D. Cobb, Michael D. Himes, Frank Soboczenski +7
Machine learning is now used in many areas of astrophysics, from detecting exoplanets in Kepler transit signals to removing telescope systematics. Recent work demonstrated the pote…
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
Frank Soboczenski, Michael D. Himes, Molly D. O'Beirne +8
Over the past decade, the study of extrasolar planets has evolved rapidly from plain detection and identification to comprehensive categorization and characterization of exoplanet…