Jonathan Pirnay

According to our database1, Jonathan Pirnay authored at least 9 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Self-Reflective Deep Learning for Sequential Decision Problems.
PhD thesis, 2025

Deep reinforcement learning enables conceptual design of processes for separating azeotropic mixtures without prior knowledge.
Comput. Chem. Eng., 2025

2024
Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement.
Trans. Mach. Learn. Res., 2024

GraphXForm: Graph transformer for computer-aided molecular design with application to extraction.
CoRR, 2024

Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components.
Comput. Chem. Eng., September, 2023

Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge.
CoRR, 2023

Policy-Based Self-Competition for Planning Problems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Inpainting Transformer for Anomaly Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022


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