Inpainting Transformer for Anomaly Detection. - Jonathan Pirnay; Keng Chai (ICIAP (2), 2022)

Policy-Based Self-Competition for Planning Problems. - Jonathan Pirnay; Quirin Göttl; Jakob Burger; Dominik Gerhard Grimm (ICLR, 2023)

Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge. - Quirin Göttl; Jonathan Pirnay; Jakob Burger; Dominik G. Grimm (CoRR, 2023)

Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components. - Quirin Göttl; Jonathan Pirnay; Dominik G. Grimm; Jakob Burger (Comput. Chem. Eng., 2023)

Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization. - Jonathan Pirnay; Dominik G. Grimm (ECAI, 2024)

GraphXForm: Graph transformer for computer-aided molecular design with application to extraction. - Jonathan Pirnay; Jan G. Rittig; Alexander B. Wolf; Martin Grohe; Jakob Burger; Alexander Mitsos; Dominik G. Grimm (CoRR, 2024)

Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement. - Jonathan Pirnay; Dominik G. Grimm (Trans. Mach. Learn. Res., 2024)

Deep reinforcement learning enables conceptual design of processes for separating azeotropic mixtures without prior knowledge. - Quirin Göttl; Jonathan Pirnay; Jakob Burger; Dominik G. Grimm (Comput. Chem. Eng., 2025)