Fabian Falck

Fabian Falck

University of Oxford

H-index: 7

Europe-United Kingdom

About Fabian Falck

Fabian Falck, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of machine learning, generative models.

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

A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis

Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection

A critical review of Causal Inference benchmarks for Large Language Models

A Unified Framework for U-Net Design and Analysis

On Gradients of Deep Generative Models for Representation-Invariant Anomaly Detection

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

Neural Score Matching for High-Dimensional Causal Inference

Machine Learning for Health (ML4H) 2021

Fabian Falck Information

University

Position

PhD Student

Citations(all)

129

Citations(since 2020)

127

Cited By

25

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Fabian Falck Skills & Research Interests

machine learning

generative models

Top articles of Fabian Falck

Title

Journal

Author(s)

Publication Date

A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis

Journal of Biomedical Informatics

Fabian Falck

Xuan Zhu

Sahra Ghalebikesabi

Matthias Kormaksson

Marc Vandemeulebroecke

...

2024/4/18

Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection

arXiv preprint arXiv:2403.01485

Sam Dauncey

Chris Holmes

Christopher Williams

Fabian Falck

2024/3/3

A critical review of Causal Inference benchmarks for Large Language Models

Linying Yang

Oscar Clivio

Vik Shirvaikar

Fabian Falck

2024

A Unified Framework for U-Net Design and Analysis

Advances in Neural Information Processing Systems

Christopher Williams

Fabian Falck

George Deligiannidis

Chris C Holmes

Arnaud Doucet

...

2024/2/13

On Gradients of Deep Generative Models for Representation-Invariant Anomaly Detection

Sam Dauncey

Christopher C Holmes

Christopher Williams

Fabian Falck

2023/3/4

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

Advances in Neural Information Processing Systems

Fabian Falck

Christopher Williams

Dominic Danks

George Deligiannidis

Christopher Yau

...

2022/12/6

Neural Score Matching for High-Dimensional Causal Inference

Oscar Clivio

Fabian Falck

Brieuc Lehmann

George Deligiannidis

Chris Holmes

2022/5/3

Machine Learning for Health (ML4H) 2021

Subhrajit Roy

Stephen Pfohl

Girmaw Abebe Tadesse

Luis Oala

Fabian Falck

...

2021/11/28

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021

arXiv e-prints

Fabian Falck

Yuyin Zhou

Emma Rocheteau

Liyue Shen

Luis Oala

...

2021/11

Multi-Facet Clustering Variational Autoencoders

Advances in Neural Information Processing Systems

Fabian Falck

Haoting Zhang

Matthew Willetts

George Nicholson

Christopher Yau

...

2021/12/6

Ivy: Templated Deep Learning for Inter-Framework Portability

arXiv preprint arXiv:2102.02886

Daniel Lenton

Fabio Pardo

Fabian Falck

Stephen James

Ronald Clark

2021/2/4

ML4H Abstract Track 2019

arXiv preprint arXiv:2002.01584

Matthew McDermott

Emily Alsentzer

Sam Finlayson

Michael Oberst

Fabian Falck

...

2020/2/5

Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All

Suproteem K Sarkar

Subhrajit Roy

Emily Alsentzer

Matthew BA McDermott

Fabian Falck

...

2020/11/23

Robot DE NIRO: a human-centered, autonomous, mobile research platform for cognitively-enhanced manipulation

Frontiers in Robotics and AI

Fabian Falck

Sagar Doshi

Marion Tormento

Gor Nersisyan

Nico Smuts

...

2020/4

ML4H Abstract Track 2020

arXiv e-prints

Emily Alsentzer

Matthew McDermott

Fabian Falck

Suproteem K Sarkar

Subhrajit Roy

...

2020/11

Measuring Proximity Between Newspapers and Political Parties: The Sentiment Political Compass

Policy & internet

Fabian Falck

Julian Marstaller

Niklas Stoehr

Sören Maucher

Jeana Ren

...

2020/9

Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different?

Adrian V Dalca

Matthew BA McDermott

Emily Alsentzer

Samuel G Finlayson

Michael Oberst

...

2020/4/30

Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM

Zoe Landgraf

Fabian Falck

Michael Bloesch

Stefan Leutenegger

Andrew J Davison

2020/5/31

See List of Professors in Fabian Falck University(University of Oxford)

Co-Authors

H-index: 108
Michael R Pinsky, MD

Michael R Pinsky, MD

University of Pittsburgh

H-index: 74
Andrew Davison

Andrew Davison

Imperial College London

H-index: 72
Rudi Studer

Rudi Studer

Karlsruher Institut für Technologie

H-index: 40
Stefan Leutenegger

Stefan Leutenegger

Technische Universität München

H-index: 38
Christopher Yau

Christopher Yau

Manchester University

H-index: 30
Artur Dubrawski

Artur Dubrawski

Carnegie Mellon University

academic-engine