5 contributions by members of the Center for Studies UPF in Artificial and Natural Intelligence (CeSANI) at NeurIPS 2023, 4 of them from DTIC-UPF. 

• Provably Efficient Offline Reinforcement Learning in Regular Decision Processes. Roberto_Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi.
• Asymmetric Norms to Approximate the Minimum Action Distance. Lorenzo Steccanella, Anders Jonsson (Workshop GCRL).
• First- and Second-Order Bounds for Adversarial Linear Contextual Bandits. Julia Olkhovskaya, Jack Mayo, Tim van Erven, Gergely Neu, Chen-Yu Wei.
• Empowerment, Free Energy Principle and Maximum Occupancy Principle Compared. Ruben Moreno, Jorge Ramírez (Workshop InfoCog)
• TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials. Guillem Simeon, Gianni de Fabritiis

Additionally, other DTIC-UPF members (Benno Weck, Dmitry Bogdanov, Philip Tovstogan, all from the Music Technology Group) present their collaboration in "The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation" (Paper, Code, Dataset), dataset to be presented at the Machine Learning for Audio Workshop at NeurIPS 2023.