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ORCIDFabian Falck
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2020 – today
- 2024
[j2]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: 104641 (2024)- [c12]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:
MAIRA at RRG24: A specialised large multimodal model for radiology report generation. BioNLP@ACL 2024: 597-602 - [c11]Fabian Falck, Ziyu Wang, Christopher C. Holmes:
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective. ICML 2024 - [i16]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 abs/2403.01485 (2024) - [i15]Fabian Falck, Ziyu Wang, Chris Holmes:
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective. CoRR abs/2406.00793 (2024) - [i14]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 abs/2406.04449 (2024) - [i13]Linying Yang, Vik Shirvaikar, Oscar Clivio, Fabian Falck:
A Critical Review of Causal Reasoning Benchmarks for Large Language Models. CoRR abs/2407.08029 (2024) - [i12]Vincent Jeanselme, Chang Ho Yoon, Fabian Falck, Brian D. M. Tom, Jessica K. Barrett:
Identifying treatment response subgroups in observational time-to-event data. CoRR abs/2408.03463 (2024) - 2023
- [c10]Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed:
A Unified Framework for U-Net Design and Analysis. NeurIPS 2023 - [i11]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 abs/2301.08187 (2023) - [i10]Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed:
A Unified Framework for U-Net Design and Analysis. CoRR abs/2305.19638 (2023) - 2022
- [c9]Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes:
Neural score matching for high-dimensional causal inference. AISTATS 2022: 7076-7110 - [c8]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 - [i9]Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes:
Neural Score Matching for High-Dimensional Causal Inference. CoRR abs/2203.00554 (2022) - 2021
- [c7]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: 1-12 - [c6]Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C. Holmes:
Multi-Facet Clustering Variational Autoencoders. NeurIPS 2021: 8676-8690 - [e3]Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, 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@NeurIPS 2021, 04 December 2021, Virtual Event. Proceedings of Machine Learning Research 158, PMLR 2021 [contents] - [i8]Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark:
Ivy: Templated Deep Learning for Inter-Framework Portability. CoRR abs/2102.02886 (2021) - [i7]Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Christopher C. Holmes:
Multi-Facet Clustering Variational Autoencoders. CoRR abs/2106.05241 (2021) - [i6]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 abs/2112.00179 (2021) - 2020
- [j1]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: 66 (2020) - [c5]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: 6884-6890 - [c4]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: 1-11 - [e2]Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
Machine Learning for Health Workshop, ML4H@NeurIPS 2020, Virtual Event, 11 December 2020. Proceedings of Machine Learning Research 136, PMLR 2020 [contents] - [i5]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 abs/2002.01584 (2020) - [i4]Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. CoRR abs/2002.10342 (2020) - [i3]Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
ML4H Abstract Track 2020. CoRR abs/2011.11554 (2020)
2010 – 2019
- 2019
- [c3]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: 1-9 - [c2]Niklas Stoehr, Luis Sanchez, Daniil Gannota, Fabian Falck:
From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning. SNAMS 2019: 369-374 - [c1]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: 78-89 - [e1]Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Brett K. Beaulieu-Jones:
Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019. Proceedings of Machine Learning Research 116, PMLR 2019 [contents] - [i2]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 abs/1911.05121 (2019) - 2018
- [i1]Fabian Falck, Sagar Doshi, Nico Smuts, John Lingi, Kim Rants, Petar Kormushev:
Human-centered manipulation and navigation with Robot DE NIRO. CoRR abs/1810.09786 (2018)
Coauthor Index
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