Human-centered manipulation and navigation with Robot DE NIRO. - Fabian Falck; Sagar Doshi; Nico Smuts; John Lingi; Kim Rants; Petar Kormushev (CoRR, 2018)

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 (ML4H@NeurIPS, 2019)

From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning. - Niklas Stoehr; Luis Sanchez; Daniil Gannota; Fabian Falck (SNAMS, 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 (TAROS (1), 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)

Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. - Zoe Landgraf; Fabian Falck; Michael Bloesch; Stefan Leutenegger; Andrew J. Davison (ICRA, 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 (ML4H@NeurIPS, 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)

ML4H Abstract Track 2020. - Emily Alsentzer; Matthew B. A. McDermott; Fabian Falck; Suproteem K. Sarkar; Subhrajit Roy; Stephanie L. Hyland (CoRR, 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)

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 (ML4H@NeurIPS, 2021)

Multi-Facet Clustering Variational Autoencoders. - Fabian Falck; Haoting Zhang; Matthew Willetts; George Nicholson; Christopher Yau; Chris C. Holmes (NeurIPS, 2021)

Ivy: Templated Deep Learning for Inter-Framework Portability. - Daniel Lenton; Fabio Pardo; Fabian Falck; Stephen James; Ronald Clark (CoRR, 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)

Neural score matching for high-dimensional causal inference. - Oscar Clivio; Fabian Falck; Brieuc Lehmann; George Deligiannidis; Chris C. Holmes (AISTATS, 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 (NeurIPS, 2022)

A Unified Framework for U-Net Design and Analysis. - Christopher Williams; Fabian Falck; George Deligiannidis; Chris C. Holmes; Arnaud Doucet; Saifuddin Syed (NeurIPS, 2023)

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; et al. (BioNLP@ACL, 2024)

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective. - Fabian Falck; Ziyu Wang; Christopher C. Holmes (ICML, 2024)

MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models. - Harshita Sharma; Valentina Salvatelli; Shaury Srivastav; Kenza Bouzid; Shruthi Bannur; Daniel C. Castro; Maximilian Ilse; Sam Bond-Taylor; Mercy Prasanna Ranjit; Fabian Falck; Fernando Pérez-García; Anton Schwaighofer; et al. (ML4H@NeurIPS, 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; et al. (CoRR, 2024)

A Critical Review of Causal Reasoning Benchmarks for Large Language Models. - Linying Yang; Vik Shirvaikar; Oscar Clivio; Fabian Falck (CoRR, 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 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; et al. (J. Biomed. Informatics, 2024)

Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection. - Sam Dauncey; Christopher C. Holmes; Christopher Williams; Fabian Falck (Trans. Mach. Learn. Res., 2024)

Implicit Language Models are RNNs: Balancing Parallelization and Expressivity. - Mark Schöne; Babak Rahmani; Heiner Kremer; Fabian Falck; Hitesh Ballani; Jannes Gladrow (CoRR, 2025)

A Fourier Space Perspective on Diffusion Models. - Fabian Falck; Teodora Pandeva; Kiarash Zahirnia; Rachel Lawrence; Richard E. Turner; Edward Meeds; Javier Zazo; Sushrut Karmalkar (CoRR, 2025)

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation. - Xinnuo Xu; Rachel Lawrence; Kshitij Dubey; Atharva Pandey; Risa Ueno; Fabian Falck; Aditya V. Nori; Rahul Sharma 001; Amit Sharma; Javier Gonzalez (CoRR, 2025)