Fabian Falck

According to our database, Fabian Falck authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Fabian Falck, Xuan Zhu, Sahra Ghalebikesabi, Matthias Kormaksson, Marc Vandemeulebroecke, Cong Zhang, Ruvie Martin, Stephen Gardiner, Chun Hei Kwok, Dominique M. West, Luis A. Santos, Chengeng Tian, Yu Pang, Aimee Readie, Gregory Ligozio, Kunal K. Gandhi, Thomas E. Nichols, Ann-Marie Mallon, Luke J. Kelly, David Ohlssen, George Nicholson

J. Biomed. Informatics, 2024

Identifying treatment response subgroups in observational time-to-event data.

Vincent Jeanselme, Chang Ho Yoon, Fabian Falck, Brian D. M. Tom, Jessica K. Barrett

CoRR, 2024

A Critical Review of Causal Reasoning Benchmarks for Large Language Models.

Linying Yang, Vik Shirvaikar, Oscar Clivio, Fabian Falck

CoRR, 2024

MAIRA-2: Grounded Radiology Report Generation.

Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Anton Schwaighofer, Sam Bond-Taylor, Maximilian Ilse, Fernando Pérez-García, Valentina Salvatelli, Harshita Sharma, Felix Meissen, Mercy Ranjit, Shaury Srivastav, Julia Gong, Fabian Falck, Ozan Oktay, Anja Thieme, Matthew P. Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie L. Hyland

CoRR, 2024

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

Sam Dauncey, Chris C. Holmes, Christopher Williams, Fabian Falck

CoRR, 2024

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective.

Fabian Falck, Ziyu Wang, Christopher C. Holmes

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MAIRA at RRG24: A specialised large multimodal model for radiology report generation.

Shaury Srivastav, Mercy Ranjit, Fernando Pérez-García, Kenza Bouzid, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Harshita Sharma, Maximilian Ilse, Valentina Salvatelli, Sam Bond-Taylor, Fabian Falck, Anja Thieme, Hannah Richardson, Matthew P. Lungren, Stephanie L. Hyland, Javier Alvarez-Valle

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

A Unified Framework for U-Net Design and Analysis.

Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural score matching for high-dimensional causal inference.

Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott

CoRR, 2021

Ivy: Templated Deep Learning for Inter-Framework Portability.

Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark

CoRR, 2021

Multi-Facet Clustering Variational Autoencoders.

Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C. Holmes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Machine Learning for Health (ML4H) 2021.

Subhrajit Roy, Stephen Pfohl, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer

Proceedings of the Machine Learning for Health, 2021

2020

Robot DE NIRO: A Human-Centered, Autonomous, Mobile Research Platform for Cognitively-Enhanced Manipulation.

Fabian Falck, Sagar Doshi, Marion Tormento, Gor Nersisyan, Nico Smuts, John Lingi, Kim Rants, Roni Permana Saputra, Ke Wang, Petar Kormushev

Frontiers Robotics AI, 2020

ML4H Abstract Track 2020.

Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland

CoRR, 2020

ML4H Abstract Track 2019.

Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca

CoRR, 2020

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

Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland

Proceedings of the Machine Learning for Health Workshop, 2020

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

Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning.

Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski

CoRR, 2019

DE VITO: A Dual-Arm, High Degree-of-Freedom, Lightweight, Inexpensive, Passive Upper-Limb Exoskeleton for Robot Teleoperation.

Fabian Falck, Kawin Larppichet, Petar Kormushev

Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019

From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning.

Niklas Stoehr, Luis Sanchez, Daniil Gannota, Fabian Falck

Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

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

Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Corey Chivers, Andrew Beam, Tristan Naumann, Brett K. Beaulieu-Jones

Proceedings of the Machine Learning for Health Workshop, 2019

2018

Human-centered manipulation and navigation with Robot DE NIRO.

Fabian Falck, Sagar Doshi, Nico Smuts, John Lingi, Kim Rants, Petar Kormushev

CoRR, 2018