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Marc Boubnovski Martell
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2020 – today
- 2026
[i9]Marc Boubnovski Martell, Josefa Lia Stoisser, Lawrence Phillips, Aditya Misra, Robert Kitchen, Jesper Ferkinghoff-Borg, Jialin Yu, Philip Torr, Kaspar Märtens:
MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction. CoRR abs/2602.13791 (2026)- 2025
[i8]Josefa Lia Stoisser, Marc Boubnovski Martell, Julien Fauqueur:
Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning. CoRR abs/2505.00016 (2025)
[i7]Josefa Lia Stoisser, Marc Boubnovski Martell, Kaspar Märtens, Lawrence Phillips, Stephen Michael Town, Rory M. Donovan-Maiye, Julien Fauqueur:
Query, Don't Train: Privacy-Preserving Tabular Prediction from EHR Data via SQL Queries. CoRR abs/2505.21801 (2025)
[i6]Josefa Lia Stoisser, Marc Boubnovski Martell, Lawrence Phillips, Casper Hansen, Julien Fauqueur:
STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing. CoRR abs/2506.21575 (2025)
[i5]Marc Boubnovski Martell, Kristofer Linton-Reid, Mitchell Chen, Sumeet Hindocha, Benjamin Hunter, Marco A. Calzado, Richard Lee, Joram M. Posma, Eric O. Aboagye:
MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis. CoRR abs/2507.15340 (2025)
[i4]Josefa Lia Stoisser, Marc Boubnovski Martell, Lawrence Phillips, Gianluca Mazzoni, Lea Mørch Harder, Philip Torr, Jesper Ferkinghoff-Borg, Kaspar Märtens, Julien Fauqueur:
Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning. CoRR abs/2509.02401 (2025)
[i3]Lawrence Phillips, Marc Boubnovski Martell, Aditya Misra, Josefa Lia Stoisser, Cesar A. Prada-Medina, Rory M. Donovan-Maiye, Kaspar Märtens:
SynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation Prediction. CoRR abs/2509.25346 (2025)
[i2]Josefa Lia Stoisser, Lawrence Phillips, Aditya Misra, Tom A. Lamb, Philip Torr, Marc Boubnovski Martell, Julien Fauqueur, Kaspar Märtens:
Towards Label-Free Biological Reasoning Synthetic Dataset Creation via Uncertainty Filtering. CoRR abs/2510.05871 (2025)- 2021
[i1]Marc Boubnovski Martell, Mitchell Chen, Kristofer Linton-Reid, Joram M. Posma, Susan J. Copley, Eric O. Aboagye:
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs. CoRR abs/2105.05204 (2021)
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last updated on 2026-03-29 22:55 CEST by the dblp team
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