Raia T. Hadsell, Ph.D.

Affiliations: 
2008 Computer Science New York University, New York, NY, United States 
Area:
machine learning, computational neuroscience, computer vision
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"Raia Hadsell"
Mean distance: 16.81 (cluster 17)
 
SNBCP

Parents

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Yann LeCun grad student 2008 NYU
 (Learning long -range vision for an offroad robot.)
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Publications

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Haarnoja T, Moran B, Lever G, et al. (2024) Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Science Robotics. 9: eadi8022
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
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