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07/14/2022
Causal Graphs Underlying Generative Models: Path to Learning with Limited Data
Training generative models that capture rich semantics of the data and i...
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08/18/2021
Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention
Current methods for viral discovery target evolutionarily conserved prot...
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11/03/2020
Optimizing Molecules using Efficient Queries from Property Evaluations
Machine learning has shown potential for optimizing existing molecules w...
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10/05/2020
Effects of Naturalistic Variation in Goal-Oriented Dialog
Existing benchmarks used to evaluate the performance of end-to-end neura...
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05/22/2020
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics
De novo therapeutic design is challenged by a vast chemical repertoire a...
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11/13/2018
Co-regularized Alignment for Unsupervised Domain Adaptation
Deep neural networks, trained with large amount of labeled data, can fai...
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10/17/2018
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
Given the emerging global threat of antimicrobial resistance, new method...
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11/26/2017