Claudio Fanconi

According to our database, Claudio Fanconi authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Tiny Autoregressive Recursive Models.

Paulius Rauba, Claudio Fanconi, Mihaela van der Schaar

CoRR, March, 2026

2025

Learning a Dense Reasoning Reward Model from Expert Demonstration via Inverse Reinforcement Learning.

Claudio Fanconi, Nicolás Astorga, Mihaela van der Schaar

CoRR, October, 2025

Towards a Cascaded LLM Framework for Cost-effective Human-AI Decision-Making.

Claudio Fanconi, Mihaela van der Schaar

CoRR, June, 2025

2024

Applying natural language processing to patient messages to identify depression concerns in cancer patients.

Marieke M. van Buchem, Anne A. H. de Hond, Claudio Fanconi, Vaibhavi B. Shah, Max Schüssler, Ilse M. J. Kant, Ewout W. Steyerberg, Tina Hernandez-Boussard

J. Am. Medical Informatics Assoc., 2024

Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes.

Katarzyna Kobalczyk, Claudio Fanconi, Hao Sun, Mihaela van der Schaar

CoRR, 2024

Discovering Preference Optimization Algorithms with and for Large Language Models.

Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert T. Lange

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Predicting Depression Risk in Patients with Cancer Using Multimodal Data.

Anne De Hond, Marieke M. van Buchem, Claudio Fanconi, Mohana Roy, Douglas W. Blayney, Ilse M. J. Kant, Ewout W. Steyerberg, Tina Hernandez-Boussard

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

This Reads Like That: Deep Learning for Interpretable Natural Language Processing.

Claudio Fanconi, Moritz Vandenhirtz, Severin Husmann, Julia E. Vogt

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes.

Claudio Fanconi, Marieke M. van Buchem, Tina Hernandez-Boussard

CoRR, 2022

2021

This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks.

Adrian Hoffmann, Claudio Fanconi, Rahul Rade, Jonas Kohler

CoRR, 2021