5 citations · 5 across the 2 of their papers we have counts for
5 papers
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network
Oscar Chang, Yuling Yao, David Williams-King +1
Two main obstacles preventing the widespread adoption of variational Bayesian neural networks are the high parameter overhead that makes them infeasible on large networks, and the…
Seven Myths in Machine Learning Research
Oscar Chang, Hod Lipson
We present seven myths commonly believed to be true in machine learning research, circa Feb 2019. This is an archival copy of the blog post at https://crazyoscarchang.github.io/201…
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
Payel Das, Kahini Wadhawan, Oscar Chang +6
Given the emerging global threat of antimicrobial resistance, new methods for next-generation antimicrobial design are urgently needed. We report a peptide generation framework Pep…
Agent Embeddings: A Latent Representation for Pole-Balancing Networks
Oscar Chang, Robert Kwiatkowski, Siyuan Chen +1
We show that it is possible to reduce a high-dimensional object like a neural network agent into a low-dimensional vector representation with semantic meaning that we call agent em…
Neural Network Quine
Oscar Chang, Hod Lipson
Self-replication is a key aspect of biological life that has been largely overlooked in Artificial Intelligence systems. Here we describe how to build and train self-replicating ne…