E-LIB Suche - Ergebnisse für: Rosasco, Lorenzo

1

RESPRECT: Speeding-up Multi-Fingered Grasping With Residual..:

Ceola, Federico ; Rosasco, Lorenzo ; Natale, Lorenzo
IEEE Robotics and Automation Letters. 9 (2024) 4 - p. 3045-3052 , 2024

Link: https://doi.org/10.1109/..

2

Top-tuning: A study on transfer learning for an efficient a..:

Alfano, Paolo Didier ; Pastore, Vito Paolo ; Rosasco, Lorenzo.
Image and Vision Computing. 142 (2024) - p. 104894 , 2024

Link: https://doi.org/10.1016/..

3

Iterative regularization for low complexity regularizers:

Molinari, Cesare ; Massias, Mathurin ; Rosasco, Lorenzo.
Numerische Mathematik. 156 (2024) 2 - p. 641-689 , 2024

Link: https://doi.org/10.1007/..

4

A structured prediction approach for robot imitation learni..:

Duan, Anqing ; Batzianoulis, Iason ; Camoriano, Raffaello...
The International Journal of Robotics Research. 43 (2023) 2 - p. 113-133 , 2023

Link: https://doi.org/10.1177/..

5

A Grasp Pose is All You Need: Learning Multi-Fingered Grasp..:

, In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),

Ceola, Federico ; Maiettini, Elisa ; Rosasco, Lorenzo. - p. 2985-2992 , 2023

Link: https://doi.org/10.1109/..

6

Understanding neural networks with reproducing kernel Banac..:

Bartolucci, Francesca ; De Vito, Ernesto ; Rosasco, Lorenzo.
Applied and Computational Harmonic Analysis. 62 (2023) - p. 194-236 , 2023

Link: https://doi.org/10.1016/..

7

Regularization Properties of Dual Subgradient Flow:

, In: 2023 European Control Conference (ECC),

Apidopoulos, Vassilis ; Molinari, Cesare ; Rosasco, Lorenzo. - p. 1-8 , 2023

Link: https://doi.org/10.23919..

8

Fast iterative regularization by reusing data:

Vega, Cristian ; Molinari, Cesare ; Rosasco, Lorenzo.
Journal of Inverse and Ill-posed Problems. 0 (2023) 0 - p. , 2023

Link: https://doi.org/10.1515/..

9

Physics informed machine learning for wind speed prediction:

Lagomarsino-Oneto, Daniele ; Meanti, Giacomo ; Pagliana, Nicolò...
Energy. 268 (2023) - p. 126628 , 2023

Link: https://doi.org/10.1016/..

10

In-domain versus out-of-domain transfer learning in plankto..:

Maracani, Andrea ; Pastore, Vito Paolo ; Natale, Lorenzo..
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

11

Fast kernel methods for data quality monitoring as a goodne..:

Grosso, Gaia ; Lai, Nicolò ; Letizia, Marco...
Machine Learning: Science and Technology. 4 (2023) 3 - p. 035029 , 2023

Link: https://doi.org/10.1088/..

12

Zeroth-order optimization with orthogonal random directions:

Kozak, David ; Molinari, Cesare ; Rosasco, Lorenzo..
Mathematical Programming. 199 (2022) 1-2 - p. 1179-1219 , 2022

Link: https://doi.org/10.1007/..

13

Learn Fast, Segment Well: Fast Object Segmentation Learning..:

Ceola, Federico ; Maiettini, Elisa ; Pasquale, Giulia...
IEEE Transactions on Robotics. 38 (2022) 5 - p. 3154-3172 , 2022

Link: https://doi.org/10.1109/..

14

Learning new physics efficiently with nonparametric methods:

Letizia, Marco ; Losapio, Gianvito ; Rando, Marco...
The European Physical Journal C. 82 (2022) 10 - p. , 2022

Link: https://doi.org/10.1140/..

15

From Handheld to Unconstrained Object Detection: a Weakly-s..:

, In: 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN),

Maiettini, Elisa ; Maracani, Andrea ; Camoriano, Raffaello... - p. 942-949 , 2022

Link: https://doi.org/10.1109/..