Marc Boubnovski Martell

According to our database, Marc Boubnovski Martell authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Ambig-DS: A Benchmark for Task-Framing Ambiguity in Data-Science Agents.

Josefa Lia Stoisser, Marc Boubnovski Martell, Sidsel Boldsen, Kaspar Märtens, Robert Kitchen

CoRR, May, 2026

Measuring Black-Box Confidence via Reasoning Trajectories: Geometry, Coverage, and Verbalization.

Marc Boubnovski Martell, Josefa Lia Stoisser, Kaspar Märtens, Jialin Yu, Robert Kitchen, Philip Torr, Jesper Ferkinghoff-Borg

CoRR, May, 2026

MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction.

Marc Boubnovski Martell, Josefa Lia Stoisser, Lawrence Phillips, Aditya Misra, Robert Kitchen, Jesper Ferkinghoff-Borg, Jialin Yu, Philip Torr, Kaspar Märtens

CoRR, February, 2026

2025

Towards Label-Free Biological Reasoning Synthetic Dataset Creation via Uncertainty Filtering.

Josefa Lia Stoisser, Lawrence Phillips, Aditya Misra, Tom A. Lamb, Philip Torr, Marc Boubnovski Martell, Julien Fauqueur, Kaspar Märtens

CoRR, October, 2025

SynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation Prediction.

Lawrence Phillips, Marc Boubnovski Martell, Aditya Misra, Josefa Lia Stoisser, Cesar A. Prada-Medina, Rory M. Donovan-Maiye, Kaspar Märtens

CoRR, September, 2025

Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning.

Josefa Lia Stoisser, Marc Boubnovski Martell, Lawrence Phillips, Gianluca Mazzoni, Lea Mørch Harder, Philip Torr, Jesper Ferkinghoff-Borg, Kaspar Märtens, Julien Fauqueur

CoRR, September, 2025

MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis.

Marc Boubnovski Martell, Kristofer Linton-Reid, Mitchell Chen, Sumeet Hindocha, Benjamin Hunter, Marco A. Calzado, Richard Lee, Joram M. Posma, Eric O. Aboagye

CoRR, July, 2025

STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing.

Josefa Lia Stoisser, Marc Boubnovski Martell, Lawrence Phillips, Casper Hansen, Julien Fauqueur

CoRR, June, 2025

Query, Don't Train: Privacy-Preserving Tabular Prediction from EHR Data via SQL Queries.

Josefa Lia Stoisser, Marc Boubnovski Martell, Kaspar Märtens, Lawrence Phillips, Stephen Michael Town, Rory M. Donovan-Maiye, Julien Fauqueur

CoRR, May, 2025

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning.

Josefa Lia Stoisser, Marc Boubnovski Martell, Julien Fauqueur

CoRR, May, 2025

2021

Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs.

Marc Boubnovski Martell, Mitchell Chen, Kristofer Linton-Reid, Joram M. Posma, Susan J. Copley, Eric O. Aboagye

CoRR, 2021