Mesh adaptation-aided image segmentation. - Alberto Silvio Chiappa; Stefano Micheletti; Riccardo Peli; Simona Perotto (Commun. Nonlinear Sci. Numer. Simul., 2019)

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. - Vittorio Caggiano; Guillaume Durandau; Huawei Wang 003; Alberto Silvio Chiappa; Alexander Mathis; Pablo Tano; Nisheet Patel; Alexandre Pouget; Pierre Schumacher; Georg Martius; Daniel F. B. Haeufle; Yiran Geng; et al. (NeurIPS (Competition and Demos), 2021)

DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body. - Alberto Silvio Chiappa; Alessandro Marin Vargas; Alexander Mathis (NeurIPS, 2022)

Latent exploration for Reinforcement Learning. - Alberto Silvio Chiappa; Alessandro Marin Vargas; Ann Zixiang Huang; Alexander Mathis (NeurIPS, 2023)

Reducing the Drag of a Bluff Body by Deep Reinforcement Learning. - Enrico Ballini; Alberto Silvio Chiappa; Stefano Micheletti (CoRR, 2023)

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. - Beatriz Borges; Negar Foroutan; Deniz Bayazit; Anna Sotnikova; Syrielle Montariol; Tanya Nazaretzky; Mohammadreza Banaei; Alireza Sakhaeirad; Philippe Servant; Seyed Parsa Neshaei; Jibril Frej; Angelika Romanou; et al. (CoRR, 2024)

Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL). - Alberto Silvio Chiappa; Briti Gangopadhyay; Zhao Wang 009; Shingo Takamatsu (CoRR, 2024)

Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits. - Briti Gangopadhyay; Zhao Wang 009; Alberto Silvio Chiappa; Shingo Takamatsu (AAMAS, 2025)

Reinforcement learning-based motion imitation for physiologically plausible musculoskeletal motor control. - Merkourios Simos; Alberto Silvio Chiappa; Alexander Mathis (CoRR, 2025)