Fabian Falck

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Machine Learning

Causal Inference

Top Venues

Publications

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
MAIRA-2: Grounded Radiology Report Generation. CoRR (2024)
Fabian Falck, Ziyu Wang, Chris Holmes
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective. CoRR (2024)
Sam Dauncey, Chris C. Holmes, Christopher Williams, Fabian Falck
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection. CoRR (2024)
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
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis. J. Biomed. Informatics 154 (2024)
Linying Yang, Vik Shirvaikar, Oscar Clivio, Fabian Falck
A Critical Review of Causal Reasoning Benchmarks for Large Language Models. CoRR (2024)
Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. CoRR (2023)
Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed
A Unified Framework for U-Net Design and Analysis. NeurIPS (2023)
Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed
A Unified Framework for U-Net Design and Analysis. CoRR (2023)
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes
Neural score matching for high-dimensional causal inference. AISTATS (2022)
Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. NeurIPS (2022)
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes
Neural Score Matching for High-Dimensional Causal Inference. CoRR (2022)
Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Christopher C. Holmes
Multi-Facet Clustering Variational Autoencoders. CoRR (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
Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS (2021)
Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark
Ivy: Templated Deep Learning for Inter-Framework Portability. CoRR (2021)
Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. CoRR (2021)
Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C. Holmes
Multi-Facet Clustering Variational Autoencoders. NeurIPS (2021)
Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. CoRR (2020)
Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. ML4H@NeurIPS (2020)
Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. ICRA (2020)
Fabian Falck, Sagar Doshi, Marion Tormento, Gor Nersisyan, Nico Smuts, John Lingi, Kim Rants, Roni Permana Saputra, Ke Wang, Petar Kormushev
Robot DE NIRO: A Human-Centered, Autonomous, Mobile Research Platform for Cognitively-Enhanced Manipulation. Frontiers Robotics AI 7 (2020)
Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland
ML4H Abstract Track 2020. CoRR (2020)
Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca
ML4H Abstract Track 2019. CoRR (2020)
Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. CoRR (2019)
Niklas Stoehr, Luis Sanchez, Daniil Gannota, Fabian Falck
From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning. SNAMS (2019)
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
Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS (2019)
Fabian Falck, Kawin Larppichet, Petar Kormushev
DE VITO: A Dual-Arm, High Degree-of-Freedom, Lightweight, Inexpensive, Passive Upper-Limb Exoskeleton for Robot Teleoperation. TAROS (1) (2019)
Fabian Falck, Sagar Doshi, Nico Smuts, John Lingi, Kim Rants, Petar Kormushev
Human-centered manipulation and navigation with Robot DE NIRO. CoRR (2018)