Simon Valentin

According to our database, Simon Valentin authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Interpretable Tabular Foundation Models via In-Context Kernel Regression.

Ratmir Miftachov, Bruno Charron, Simon Valentin

CoRR, February, 2026

2025

SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents.

Muhammad Shihab Rashid, Christian Bock, Yuan Zhuang, Alexander Buchholz, Timothy B. Esler, Simon Valentin, Luca Franceschi, Martin Wistuba, Prabhu Teja Sivaprasad, Woo Jung Kim, Anoop Deoras, Giovanni Zappella, Laurent Callot

CoRR, April, 2025

2024

Cost-Effective Hallucination Detection for LLMs.

Simon Valentin, Jinmiao Fu, Gianluca Detommaso, Shaoyuan Xu, Giovanni Zappella, Bryan Wang

CoRR, 2024

Probabilistic Demand Forecasting with Graph Neural Networks.

Nikita Kozodoi, Elizaveta Zinovyeva, Simon Valentin, João Pereira, Rodrigo Agundez

CoRR, 2024

Distinguishing Between Process Models of Causal Learning.

Simon Valentin, Lucas Castillo, Adam Sanborn, Chris Lucas

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

Paradoxical parsimony: How latent complexity favors theory simplicity.

Tianwei Gong, Simon Valentin, Chris Lucas, Neil R. Bramley

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

Designing Optimal Behavioral Experiments Using Machine Learning.

Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas

CoRR, 2023

2021

Bayesian Optimal Experimental Design for Simulator Models of Cognition.

Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas

CoRR, 2021

Symbolic and Sub-Symbolic Systems in People and Machines.

Simon Valentin, Bonan Zhao, Chentian Jiang, Neil Bramley, Chris Lucas

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Bayesian Experimental Design for Intractable Models of Cognition.

Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Chris Lucas

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Know your network: Sensitivity to structure in social learning.

Jan-Philipp Fränken, Simon Valentin, Chris Lucas, Neil R. Bramley

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Interpreting neural decoding models using grouped model reliance.

Simon Valentin, Maximilian Harkotte, Tzvetan Popov

PLoS Comput. Biol., 2020

Learning Hidden Causal Structure from Temporal Data.

Simon Valentin, Neil Bramley, Christopher Lucas

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020