Nicolas Marchesotti

According to our database, Nicolas Marchesotti authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series.

Annita Vapsi, Penghang Liu, Saheed Obitayo, Aakriti, Manoj Cherukumalli, Prathamesh Patil, Amit Varshney, Nicolas Marchesotti, Elizabeth Fons, Vamsi K. Potluru, Manuela Veloso

CoRR, April, 2026

Beyond Manual Planning: Seating Allocation for Large Organizations.

Anton Ipsen, Michael Cashmore, Kirsty Fielding, Nicolas Marchesotti, Parisa Zehtabi, Daniele Magazzeni, Manuela Veloso

CoRR, February, 2026

2024

Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization.

Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

CoRR, 2024

Are Logistic Models Really Interpretable?

Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2022

Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning.

Danial Dervovic, Nicolas Marchesotti, Freddy Lécué, Daniele Magazzeni

CoRR, 2022

Towards learning to explain with concept bottleneck models: mitigating information leakage.

Joshua Lockhart, Nicolas Marchesotti, Daniele Magazzeni, Manuela Veloso

CoRR, 2022