Raia T. Hadsell, Ph.D.
Affiliations: | 2008 | Computer Science | New York University, New York, NY, United States |
Area:
machine learning, computational neuroscience, computer visionGoogle:
"Raia Hadsell"Mean distance: 16.81 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorYann LeCun | grad student | 2008 | NYU | |
(Learning long -range vision for an offroad robot.) |
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Publications
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Ravuri S, Lenc K, Willson M, et al. (2021) Skilful precipitation nowcasting using deep generative models of radar. Nature. 597: 672-677 |
Banino A, Barry C, Uria B, et al. (2018) Vector-based navigation using grid-like representations in artificial agents. Nature |
Sünderhauf N, Brock O, Scheirer W, et al. (2018) The limits and potentials of deep learning for robotics The International Journal of Robotics Research. 37: 405-420 |
Kirkpatrick J, Pascanu R, Rabinowitz N, et al. (2017) Overcoming catastrophic forgetting in neural networks. Proceedings of the National Academy of Sciences of the United States of America |
Hadsell R, Bagnell JA, Huber D, et al. (2010) Space-carving kernels for accurate rough terrain estimation International Journal of Robotics Research. 29: 981-996 |
Hadsell R, Sermanet P, Ben J, et al. (2009) Learning long-range vision for autonomous off-road driving Journal of Field Robotics. 26: 120-144 |
Sermanet P, Hadsell R, Scoffier M, et al. (2009) A multirange architecture for collision-free off-road robot navigation Journal of Field Robotics. 26: 52-87 |
Sermanet P, Hadsell R, Scoffier M, et al. (2009) A multirange architecture for collision-free off-road robot navigation: Sermanet et al.: A Multirange and Collision-Free Navigation System Journal of Field Robotics. 26: 52-87 |
Sermanet P, Hadsell R, Ben J, et al. (2007) Speed-range dilemmas for vision-based navigation in unstructured terrain Ifac Proceedings Volumes (Ifac-Papersonline). 6: 300-305 |