OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
Michael Arthur Leopold Pearce
Researcher, Graphcore
Joined
October 2019
Names
Michael Arthur Leopold Pearce
(Preferred)
,
Michael Pearce
Emails
****@gmail.com
(Confirmed)
,
****@graphcore.ai
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Researcher
Graphcore
(graphcore.ai)
2025
–
Present
Researcher
NeoChromosome
(neochromosome.com)
2022
–
2025
Researcher
Zenith AI
(zenithai.co.uk)
2020
–
2022
Researcher
Anyvision
(anyvision.co)
2020
–
2020
PhD student
The university of Warwick
(warwick.ac.uk)
2014
–
2019
Advisors, Relations & Conflicts
Coauthor
Vincent Fortuin
2020
–
2021
Coauthor
Matthias Poloczek
2017
–
2021
PhD Advisor
Juergen Branke
2014
–
2021
Coauthor
David Eriksson
2019
–
2019
Coauthor
Jacob Gardner
2019
–
2019
Coauthor
Ulrich Paquet
2018
–
2018
Coauthor
Silvia Chiappa
2018
–
2018
Expertise
Variational Inference
2018
–
2022
Bayesian Inference
2014
–
2022
Bayesian Optmisation
2014
–
2021
Publications
Bayesian Optimisation vs. Input Uncertainty Reduction
Juan Ungredda
,
Michael Pearce
,
Jürgen Branke
Published: 01 Jan 2022, Last Modified: 26 Apr 2023
ACM Trans. Model. Comput. Simul. 2022
Readers:
Everyone
Multi-objective path planning for environmental monitoring using an autonomous surface vehicle
Federico Peralta
,
Michael Pearce
,
Matthias Poloczek
,
Daniel Gutiérrez-Reina
,
Sergio Toral
,
Jürgen Branke
Published: 01 Jan 2022, Last Modified: 26 Apr 2023
GECCO Companion 2022
Readers:
Everyone
Efficient computation of the Knowledge Gradient for Bayesian Optimization
Juan Ungredda
,
Michael Pearce
,
Jürgen Branke
Published: 01 Jan 2022, Last Modified: 26 Apr 2023
CoRR 2022
Readers:
Everyone
Practical Bayesian Optimization of Objectives with Conditioning Variables
Michael Arthur Leopold Pearce
,
Janis Klaise
,
Matthew Groves
21 May 2021 (modified: 05 May 2023)
NeurIPS 2021 Submitted
Readers:
Everyone
Scalable Gaussian Process Variational Autoencoders
Metod Jazbec
,
Matthew Ashman
,
Vincent Fortuin
,
Michael Pearce
,
Stephan Mandt
,
Gunnar Rätsch
2021 (modified: 26 Feb 2022)
AISTATS 2021
Readers:
Everyone
Factorized Gaussian Process Variational Autoencoders
Metod Jazbec
,
Michael Arthur Leopold Pearce
,
Vincent Fortuin
Published: 21 Dec 2020, Last Modified: 20 Apr 2025
AABI2020
Readers:
Everyone
Sparse Gaussian Process Variational Autoencoders
Matthew Ashman
,
Jonathan So
,
William Tebbutt
,
Vincent Fortuin
,
Michael Arthur Leopold Pearce
,
Richard E Turner
28 Sept 2020 (modified: 12 Oct 2025)
ICLR 2021 Conference Blind Submission
Readers:
Everyone
Scalable Gaussian Process Variational Autoencoders
Metod Jazbec
,
Vincent Fortuin
,
Michael Pearce
,
Stephan Mandt
,
Gunnar Rätsch
2020 (modified: 26 Feb 2022)
CoRR 2020
Readers:
Everyone
Sparse Gaussian Process Variational Autoencoders
Matthew Ashman
,
Jonathan So
,
William Tebbutt
,
Vincent Fortuin
,
Michael Pearce
,
Richard E. Turner
2020 (modified: 28 Apr 2022)
CoRR 2020
Readers:
Everyone
Factorized Gaussian Process Variational Autoencoders
Metod Jazbec
,
Michael Pearce
,
Vincent Fortuin
2020 (modified: 28 Apr 2022)
CoRR 2020
Readers:
Everyone
View all 21 publications
Co-Authors
Daniel Gutiérrez-Reina
David Eriksson
Federico Peralta
Gunnar Rätsch
Jacob R. Gardner
Janis Klaise
Jonathan So
Juan Ungredda
Jürgen Branke
Matthew Ashman
Matthew Groves
Matthew J. Groves
Matthias Poloczek
Metod Jazbec
Richard E Turner
Richard E. Turner
Ryan Turner
Sergio Toral
Stephan Mandt
Vincent Fortuin
William Tebbutt