Relevant Papers
2024
Bortolon M., Tsesmelis T., James S., Poiesi F., Del Bue A.
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
European Conference on Computer Vision
2024
Scarpellini G., Fiorini S., Giuliari F., Morerio P., Del Bue A.
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
2022
Giuliari F., Skenderi G., Cristani M., Wang Y., Del Bue A.
Spatial Commonsense Graph for Object Localisation in Partial Scenes
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2022-June, pp. 19496-19505
Publications
2025
Mezidi A.-R., Patracone J., Salzo S., Habrard A., Pontil M., Emonet R., Sebban M.
A Bregman Proximal Viewpoint on Neural Operators
International Conference on Machine Learning
Conference Paper
Conference
2025
Mirzaei E., Maurer A., Kostic V.R., Pontil M.
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
Proceedings of Machine Learning Research, vol. 258, pp. 5158-5166
Conference Paper
Conference
2025
Siems J., Carstensen T., Zela A., Hutter F., Pontil M., Grazzi R.
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
Annual Conference on Neural Information Processing Systems
Conference Paper
Conference
2025
Ordonez-Apraez D., Kostic V. R., Fröhlich A., Lounici K., Pontil M.
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
Workshop on Making Sense of Data in Robotics: Composition, Curation, and Interpretability at Scale at CoRL 2025
Conference Paper
Conference
2025
Novelli P., Meanti G., Buigues P., Rosasco L., Parrinello M., Pontil M., Bonati L.
Fast and Fourier Features for Transfer Learning of Interatomic Potentials
npj Computational Materials
Article
Journal
2025
Franceschi L., Donini M., Perrone V., Klein A., Archambeau C., Seeger M., Pontil M., Frasconi P.
Hyperparameter optimization in machine learning
Foundations and Trends® in Machine Learning
Article
Journal
2025
Kostic V., Lounici K., Halconruy H., Deveregne T., Novelli P., Pontil M.
Laplace transform based low-complexity learning of continuous Markov semigroups
International Conference on Machine Learning
Conference Paper
Conference
2025
Cella L., Lounici K., Pacreau G., Pontil M.
Meta Representation Learning with Contextual Linear Bandits
Statistical Science, vol. 40, (no. 3), pp. 437-454
2025
Apraez D.O., Turrisi G., Kostic V., Martin M., Agudo A., Moreno-Noguer F., Pontil M., Semini C., Mastalli C.
Morphological symmetries in robotics
International Journal of Robotics Research
2025
Wang R., Ciccone M., Pontil M., Ciliberto C.
Schedule-Robust Continual Learning
IEEE Transaction on Pattern Analysis and Machine Intelligence
Article
Journal
2025
Turri G., Bonati L., Zhu K., Pontil M., Novelli P.
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems
arXiv
2025
Devergne T., Kostic V., Pontil M., Parrinello M.
Slow dynamical modes from static averages
Journal of Chemical Physics, vol. 162, (no. 12)
2025
Sabattini L., Coriolano A., Casert C., Forti S., Barnard E.S., Beltram F., Pontil M., Whitelam S., Coletti C., Rossi A.
Towards AI-driven autonomous growth of 2D materials based on a graphene case study
Communications Physics, vol. 8, (no. 1)
2025
Ordonez-Apraez D., Kostic R. V., Fröhlich A., Lounici K., Pontil M.
Unifying Regression and Uncertainty Quantification with Contrastive Spectral Representation Learning
NeurIPS 2025 Workshop on Symmetry and Geometry in Neural Representations
Conference Paper
Conference
2025
Grazzi R., Siems J., Zela A., Franke J.K.H., Hutter F., Pontil M.
UNLOCKING STATE-TRACKING IN LINEAR RNNS THROUGH NEGATIVE EIGENVALUES
13th International Conference on Learning Representations, ICLR 2025, pp. 87314-87346
Conference Paper
Conference