36 citations · 39 across the 6 of their papers we have counts for
6 papers
Molecular Fingerprints for Robust and Efficient ML-Driven Molecular Generation
Ruslan N. Tazhigulov, Joshua Schiller, Jacob Oppenheim +1
We propose a novel molecular fingerprint-based variational autoencoder applied for molecular generation on real-world drug molecules. We define more suitable and pharma-relevant ba…
Phenotype Detection in Real World Data via Online MixEHR Algorithm
Ying Xu, Romane Gauriau, Anna Decker +1
Understanding patterns of diagnoses, medications, procedures, and laboratory tests from electronic health records (EHRs) and health insurer claims is important for understanding di…
Semantic Decomposition Improves Learning of Large Language Models on EHR Data
David A. Bloore, Romane Gauriau, Anna L. Decker +1
Electronic health records (EHR) are widely believed to hold a profusion of actionable insights, encrypted in an irregular, semi-structured format, amidst a loud noise background. T…
Minimal Bounds on Nonlinearity in Auditory Processing
Jacob N. Oppenheim, Pavel Isakov, Marcelo O. Magnasco
Time-reversal symmetry breaking is a key feature of nearly all natural sounds, caused by the physics of sound production. While attention has been paid to the response of the audit…
Human Time-Frequency Acuity Beats the Fourier Uncertainty Principle
Jacob N. Oppenheim, Marcelo O. Magnasco
The time-frequency uncertainty principle states that the product of the temporal and frequency extents of a signal cannot be smaller than . We study human ability to simult…
A Topological Phase Transition in the Scheidegger Model of River Networks
Jacob N. Oppenheim, Marcelo O. Magnasco
We investigate the canonical Scheidegger Model of river network morphology for the case of convergent and divergent underlying topography, by embedding it on a cone. We find two di…