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Michael W Dusenberry
Research Engineer, Google
Joined
March 2019
Names
Michael W Dusenberry
(Preferred)
,
Michael Dusenberry
,
Mike Dusenberry
Emails
****@gmail.com
(Confirmed)
,
****@google.com
(Confirmed)
Personal Links
Google Scholar
DBLP
Career & Education History
Research Engineer
Google
(google.com)
2020
–
Present
Research AI Resident
Google
(google.com)
2018
–
2020
Advisors, Relations & Conflicts
No relations added
Expertise
Bayesian deep learning
Present
variational inference
Present
uncertainty
Present
healthcare
,
medicine
Present
deep learning
Present
Publications
Gemini: A Family of Highly Capable Multimodal Models
Michael W Dusenberry
OpenReview Archive Direct Upload
Readers:
Everyone
Morse Neural Networks for Uncertainty Quantification
Benoit Dherin
,
Huiyi Hu
,
Jie Ren
,
Michael W Dusenberry
,
Balaji Lakshminarayanan
1st SPIGM @ ICML Poster
Readers:
Everyone
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
James Urquhart Allingham
,
Jie Ren
,
Michael W Dusenberry
,
Xiuye Gu
,
Yin Cui
,
Dustin Tran
,
Jeremiah Zhe Liu
,
Balaji Lakshminarayanan
ICML 2023 Poster
Readers:
Everyone
Reliability benchmarks for image segmentation
E. Kelly Buchanan
,
Michael W Dusenberry
,
Jie Ren
,
Kevin Patrick Murphy
,
Balaji Lakshminarayanan
,
Dustin Tran
Published: 21 Oct 2022, Last Modified: 05 May 2023
NeurIPS 2022 Workshop DistShift Poster
Readers:
Everyone
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran
,
Jeremiah Zhe Liu
,
Michael W Dusenberry
,
Du Phan
,
Mark Collier
,
Jie Ren
,
Kehang Han
,
Zi Wang
,
Zelda E Mariet
,
Huiyi Hu
,
Neil Band
,
Tim G. J. Rudner
,
Karan Singhal
,
Zachary Nado
,
Joost van Amersfoort
,
Andreas Kirsch
,
Rodolphe Jenatton
,
Nithum Thain
,
Honglin Yuan
,
E. Kelly Buchanan
et al. (6 additional authors not shown)
26 May 2022 (modified: 30 Dec 2025)
ICML 2022 Pre-training Workshop ContributedTalk
Readers:
Everyone
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
Neil Band
,
Tim G. J. Rudner
,
Qixuan Feng
,
Angelos Filos
,
Zachary Nado
,
Michael W Dusenberry
,
Ghassen Jerfel
,
Dustin Tran
,
Yarin Gal
Published: 02 Dec 2021, Last Modified: 04 May 2025
NeurIPS 2021 Workshop DistShift Spotlight
Readers:
Everyone
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
Neil Band
,
Tim G. J. Rudner
,
Qixuan Feng
,
Angelos Filos
,
Zachary Nado
,
Michael W Dusenberry
,
Ghassen Jerfel
,
Dustin Tran
,
Yarin Gal
Published: 11 Oct 2021, Last Modified: 12 Oct 2025
NeurIPS 2021 Datasets and Benchmarks Track (Round 2)
Readers:
Everyone
Combining Ensembles and Data Augmentation Can Harm Your Calibration
Yeming Wen
,
Ghassen Jerfel
,
Rafael Muller
,
Michael W Dusenberry
,
Jasper Snoek
,
Balaji Lakshminarayanan
,
Dustin Tran
Published: 12 Jan 2021, Last Modified: 12 Oct 2025
ICLR 2021 Poster
Readers:
Everyone
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
Edward Choi
,
Zhen Xu
,
Yujia Li
,
Michael Dusenberry
,
Gerardo Flores
,
Emily Xue
,
Andrew M. Dai
2020 (modified: 28 Sept 2024)
AAAI 2020
Readers:
Everyone
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Michael W. Dusenberry
,
Ghassen Jerfel
,
Yeming Wen
,
Yi-An Ma
,
Jasper Snoek
,
Katherine A. Heller
,
Balaji Lakshminarayanan
,
Dustin Tran
2020 (modified: 06 Nov 2022)
CoRR 2020
Readers:
Everyone
View all 15 publications
Co-Authors
Alexandre V. Evfimievski
Andreas Kirsch
Andrew M. Dai
Angelos Filos
Arvind Surve
Balaji Lakshminarayanan
Benoit Dherin
Berthold Reinwald
D. Sculley
Danijar Hafner
Deron Eriksson
Du Phan
Dustin Tran
E. Kelly Buchanan
Edward Choi
Emily Xue
Faraz Makari Manshadi
Frederick Reiss
Gerardo Flores
Ghassen Jerfel
Honglin Yuan
Huiyi Hu
James Urquhart Allingham
Jasper Snoek
Jeremiah Zhe Liu
View all 56 co-authors