Simon Valentin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Experimental Design

Demand Forecasting

Social Learning

Causal Structure

Top Venues

PLoS Comput. Biol.

Publications

Nikita Kozodoi, Elizaveta Zinovyeva, Simon Valentin, João Pereira, Rodrigo Agundez
Probabilistic Demand Forecasting with Graph Neural Networks. CoRR (2024)
Simon Valentin, Jinmiao Fu, Gianluca Detommaso, Shaoyuan Xu, Giovanni Zappella, Bryan Wang
Cost-Effective Hallucination Detection for LLMs. CoRR (2024)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas
Designing Optimal Behavioral Experiments Using Machine Learning. CoRR (2023)
Simon Valentin, Bonan Zhao, Chentian Jiang, Neil Bramley, Chris Lucas
Symbolic and Sub-Symbolic Systems in People and Machines. CogSci (2021)
Jan-Philipp Fränken, Simon Valentin, Chris Lucas, Neil R. Bramley
Know your network: Sensitivity to structure in social learning. CogSci (2021)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Chris Lucas
Bayesian Experimental Design for Intractable Models of Cognition. CogSci (2021)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas
Bayesian Optimal Experimental Design for Simulator Models of Cognition. CoRR (2021)
Simon Valentin, Neil Bramley, Christopher Lucas
Learning Hidden Causal Structure from Temporal Data. CogSci (2020)
Simon Valentin, Maximilian Harkotte, Tzvetan Popov
Interpreting neural decoding models using grouped model reliance. PLoS Comput. Biol. 16 (1) (2020)