Publications

Bures-Wasserstein Flow Matching for Graph Generation K Jiang, J Cui, X Dong, L Toni
2026. Submitted to ICLR arXiv:2506.14020

Reinforcement Learning Using known Invariances A Cioba, A Kayal, L Toni, S Vakili, A Bernacchia
2026. AISTATS [arXiv:2511.03473]

GT-MilliNoise: Graph transformer for point-wise denoising of indoor millimeter-wave point clouds P Gomes, W Brescia, S Mascolo, L Toni, L De Cicco
2025. Signal Processing: Image Communication

Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks J Singh, K Jiang, B Paige, L Toni
2025. NeurIPS

Navix: Scaling minigrid environments with JAX E Pignatelli, J Liesen, RT Lange, C Lu, PS Castro, L Toni
2025. NeurIPS Dataset Track [preprint arXiv:2407.19396]

From In Silico to In Vitro: Evaluating Molecule Generative Models for Hit Generation N Osman, V Lembo, G Bottegoni, L Toni
2025. AI4Science Workshop @ NeurIPS 2025

LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening N Osman, K Jiang, D Buffelli, X Dong, L Toni
2025. New Perspective in Graph Machine Learning Workshop @ NeurIPS 2025

MERINA+: Improving Generalization for Neural Video Adaptation via Information-Theoretic Meta-Reinforcement Learning N Kan, C Li, Y Jiang, W Dai, J Zou, H Xiong, L Toni
2025. IEEE Transactions on Circuits and Systems for Video Technology

The impact of intrinsic rewards on exploration in Reinforcement Learning A Kayal, E Pignatelli, L Toni
2025. Neural Computing and Applications

Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds A Kayal, S Vakili, L Toni, D Shiu, A Bernacchia
2025. ICML [arXiv:2505.23673]

Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes K Jiang, B Tang, X Dong, L Toni
2025. AISTATS [arXiv:2503.08760]

Reward-Free Kernel-Based Reinforcement Learning A Kayal, S Vakili, L Toni, A Bernacchia
2024. ICML [arXiv:2502.07715]

Assessing the zero-shot capabilities of LLMs for action evaluation in RL E Pignatelli, J Ferret, T Rockäschel, E Grefenstette, D Paglieri, S Coward, et al.
2024. arXiv preprint arXiv:2409.12798

AGAR: Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects PM Gomes, S Rossi, L Toni
2024. ACM Transactions on Multimedia Computing, Communications and Applications

Learning algorithm generalization error bounds via auxiliary distributions G Aminian, S Masiha, L Toni, MRD Rodrigues
2024. IEEE Journal on Selected Areas in Information Theory

Millinoise: a millimeter-wave radar sparse point cloud dataset in indoor scenarios W Brescia, P Gomes, L Toni, S Mascolo, L De Cicco
2024. Proceedings of the 15th ACM Multimedia Systems Conference

Conditional Meta-Reinforcement Learning with State Representation Y Sun, L Toni, Y Andreopoulos
2024. Automated Reinforcement Learning: Exploring Meta-Learning, AutoML, and LLMs

A survey of temporal credit assignment in deep reinforcement learning E Pignatelli, J Ferret, M Geist, T Mesnard, H van Hasselt, O Pietquin, L Toni
2023. arXiv preprint arXiv:2312.01072

Information-theoretic characterizations of generalization error for the Gibbs algorithm G Aminian, Y Bu, L Toni, MRD Rodrigues, GW Wornell
2023. IEEE Transactions on Information Theory