Lorenzo Rosasco
Orcid: 0000-0003-3098-383XAffiliations:
- MIT, Cambridge, MA, USA
According to our database1,
Lorenzo Rosasco
authored at least 176 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Int. J. Robotics Res., February, 2024
IEEE Robotics Autom. Lett., 2024
CoRR, 2024
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method.
CoRR, 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis.
CoRR, 2024
2023
Mach. Learn. Sci. Technol., September, 2023
Math. Program., May, 2023
Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry.
Math. Program., March, 2023
Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures.
CoRR, 2023
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling.
CoRR, 2023
Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors.
CoRR, 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation.
CoRR, 2023
Comput. Optim. Appl., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Estimating Koopman operators with sketching to provably learn large scale dynamical systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Grasp Pose is All You Need: Learning Multi-Fingered Grasping with Deep Reinforcement Learning from Vision and Touch.
IROS, 2023
Proceedings of the European Control Conference, 2023
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees.
Proceedings of the Conference on Robot Learning, 2023
Proceedings of the Conference on Causal Learning and Reasoning, 2023
Proceedings of the Conference on Causal Learning and Reasoning, 2023
2022
IEEE Trans. Robotics, 2022
Signal Process., 2022
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots.
IEEE Robotics Autom. Lett., 2022
CoRR, 2022
Fine-tuning or top-tuning? Transfer learning with pretrained features and fast kernel methods.
CoRR, 2022
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs.
CoRR, 2022
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times.
Proceedings of the International Conference on Machine Learning, 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Constructing Fast Approximate Eigenspaces With Application to the Fast Graph Fourier Transforms.
IEEE Trans. Signal Process., 2021
Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models.
IEEE Robotics Autom. Lett., 2021
On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning.
IEEE Robotics Autom. Lett., 2021
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings.
J. Mach. Learn. Res., 2020
Frontiers Robotics AI, 2020
Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Near-linear time Gaussian process optimization with adaptive batching and resparsification.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Robotics Auton. Syst., 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019
Proceedings of the Conference on Learning Theory, 2019
2018
J. Complex., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the Conference On Learning Theory, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review.
Int. J. Autom. Comput., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017
2016
J. Optim. Theory Appl., 2016
J. Mach. Learn. Res., 2016
Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives.
Frontiers Robotics AI, 2016
Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 15361).
Dagstuhl Reports, 2015
Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?
CoRR, 2015
Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig.
Comput. Intell. Neurosci., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Discriminative template learning in group-convolutional networks for invariant speech representations.
Proceedings of the INTERSPEECH 2015, 2015
Discovering discrete subword units with binarized autoencoders and hidden-Markov-model encoders.
Proceedings of the INTERSPEECH 2015, 2015
Proceedings of the 4th Workshop on Machine Learning for Interactive Systems, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Exploiting global force torque measurements for local compliance estimation in tactile arrays.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Proceedings of the INTERSPEECH 2014, 2014
Proceedings of the INTERSPEECH 2014, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements.
CoRR, 2013
CoRR, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
On the impact of learning hierarchical representations for visual recognition in robotics.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 11291).
Dagstuhl Reports, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents.
Proceedings of the Image Analysis and Processing, 2009
2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2007
Proceedings of the Machine Learning, 2007
2006
2005
Found. Comput. Math., 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004