Christof Angermueller
Machine learning + Bio
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Authored Publications
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A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers
Berkin Ilbeyi
Bjarke Roune
Blake Hechtman
Emma Wang
Karthik Srinivasa Murthy
Mangpo Phothilimthana
Mike Burrows
Nikhil Sarda
Rezsa Farahani
Samuel J. Kaufman
Shen Wang
Sudip Roy
Yuanzhong Xu
PACT (2021)
Model-Based Reinforcement Learning for Biological Sequence Design
David Dohan
Ramya Deshpande
ICLR 2020 (2020)
Population Based Optimization for Biological Sequence Design
Zelda Mariet
David Martin Dohan
D. Sculley
ICML 2020 (2020)
Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease Classification
Singh Nalini
Kang Lee
Susan Huang
Aaron Loh
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020)
Apollo: Transferable Architecture Exploration
Albin Jones
Ravi Narayanaswami
Sat Chatterjee
ML for Systems Workshop at NeurIPS 2020
A Comparison of Generative Models for Sequence Design
David Dohan
Ramya Deshpande
Olivier Chapelle
Babak Alipanahi
Machine Learning in Computational Biology Workshop (2019)
Biological Sequences Design using Batched Bayesian Optimization
Zelda Mariet
Ramya Deshpande
David Dohan
Olivier Chapelle
NeurIPS workshop on Bayesian Deep Learning (2019)
Deep learning for predicting refractive error from retinal fundus images
Avinash Vaidyanathan Varadarajan
Katy Blumer
Reena Chopra
Pearse Keane
Lily Peng
IOVS (2018)
