1 citations · 1 across the 8 of their papers we have counts for
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Validated Synthetic Patient Generation for Small Longitudinal Cohorts: Coagulation Dynamics Across Pregnancy
Jeffrey D. Varner, Maria Cristina Bravo, Carole McBride +2
Small longitudinal cohorts, common in maternal health, rare diseases, and early-phase trials, limit computational modeling because enrollment is slow and the data are too sparse to…
Conditioning Protein Generation via Hopfield Pattern Multiplicity
Jeffrey D. Varner
Small protein-family alignments often contain a subset of interest but not enough labeled data to train a conditional generator. We condition a training-free stochastic-attention s…
Training-Free Generation of Protein Sequences from Small Family Alignments via Stochastic Attention
Jeffrey D. Varner
Generating novel protein sequences that respect a family's statistical constraints typically requires training deep generative models on thousands to millions of examples. Yet most…
Stochastic Attention via Langevin Dynamics on the Modern Hopfield Energy
Abdulrahman Alswaidan, Jeffrey D. Varner
Attention heads retrieve: given a query, they return a weighted average of stored values. We showed that this computation is one step of gradient descent on the modern Hopfield ene…