Pierre Thodoroff

Pierre Thodoroff

University of Cambridge

H-index: 4

Europe-United Kingdom

About Pierre Thodoroff

Pierre Thodoroff, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Machine Learning, Reinforcement Learning, Healthcare, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective

Correction: Vargas et al. Solving Schrödinger Bridges via Maximum Likelihood. Entropy 2021, 23, 1134

Calculating exposure to extreme sea level risk will require high resolution ice sheet models

Multi-fidelity experimental design for ice-sheet simulation

Benchmarking real-time reinforcement learning

Application of Multi-Agent Reinforcement Learning for Battery Management in Renewable Mini-Grids

Solving schrödinger bridges via maximum likelihood

Temporal Regularization in Reinforcement Learning

Pierre Thodoroff Information

University

Position

___

Citations(all)

492

Citations(since 2020)

432

Cited By

227

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Pierre Thodoroff Skills & Research Interests

Machine Learning

Reinforcement Learning

Healthcare

Deep Learning

Top articles of Pierre Thodoroff

Title

Journal

Author(s)

Publication Date

Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective

Christian Cabrera

Andrei Paleyes

Pierre Thodoroff

Neil D Lawrence

2023/2/9

Correction: Vargas et al. Solving Schrödinger Bridges via Maximum Likelihood. Entropy 2021, 23, 1134

Entropy

Francisco Vargas

Pierre Thodoroff

Austen Lamacraft

Neil Lawrence

2023/2/3

Calculating exposure to extreme sea level risk will require high resolution ice sheet models

C Williams

Pierre Thodoroff

Robert Arthern

James Byrne

J Scott Hosking

...

2023/10/31

Multi-fidelity experimental design for ice-sheet simulation

arXiv preprint arXiv:2307.08449

Pierre Thodoroff

Markus Kaiser

Rosie Williams

Robert Arthern

Scott Hosking

...

2023/7/17

Benchmarking real-time reinforcement learning

Pierre Thodoroff

Wenyu Li

Neil D Lawrence

2022/10/5

Application of Multi-Agent Reinforcement Learning for Battery Management in Renewable Mini-Grids

Tomisin I Dada

Pierre Thodoroff

Neil D Lawrence

2021/11/24

Solving schrödinger bridges via maximum likelihood

arXiv preprint arXiv:2106.02081

Francisco Vargas

Pierre Thodoroff

Neil D Lawrence

Austen Lamacraft

2021/6/3

Temporal Regularization in Reinforcement Learning

Pierre Thodoroff

2020

Adversarial balancing for causal inference

2020/5/7

See List of Professors in Pierre Thodoroff University(University of Cambridge)

Co-Authors

H-index: 74
Joelle Pineau

Joelle Pineau

McGill University

H-index: 73
Neil D. Lawrence

Neil D. Lawrence

University of Cambridge

H-index: 63
Doina Precup

Doina Precup

McGill University

H-index: 24
Francisco Vargas

Francisco Vargas

Universidad de Antioquía

H-index: 16
Audrey Durand

Audrey Durand

Université Laval

H-index: 10
Lucas Caccia

Lucas Caccia

McGill University

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