E-LIB Suche - Ergebnisse für: George, Dileep

1

3D Neural Embedding Likelihood: Probabilistic Inverse Graph..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),

Zhou, Guangyao ; Gothoskar, Nishad ; Wang, Lirui... - p. 21568-21579 , 2023

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

2

DURableVS: Data-efficient Unsupervised Recalibrating Visual..:

, In: 2022 International Conference on Robotics and Automation (ICRA),

Gothoskar, Nishad ; Lazaro-Gredilla, Miguel ; Bekiroglu, Yasemin... - p. 6674-6680 , 2022

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

3

Clone-structured graph representations enable flexible lear..:

George, Dileep ; Rikhye, Rajeev V. ; Gothoskar, Nishad...
Nature Communications. 12 (2021) 1 - p. , 2021

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

4

From CAPTCHA to Commonsense: How Brain Can Teach Us About A..:

George, Dileep ; Lázaro-Gredilla, Miguel ; Guntupalli, J. Swaroop
Frontiers in Computational Neuroscience. 14 (2020) - p. , 2020

Link: https://doi.org/10.3389/..

5

What can the brain teach us about building artificial intel..:

George, Dileep
Behavioral and Brain Sciences. 40 (2017) - p. , 2017

Link: https://doi.org/10.1017/..

6

A generative vision model that trains with high data effici..:

George, Dileep ; Lehrach, Wolfgang ; Kansky, Ken...
Science. 358 (2017) 6368 - p. , 2017

Link: https://doi.org/10.1126/..

7

A generative vision model that trains with high data effici..:

George, Dileep ; Lehrach, Wolfgang ; Kansky, Ken...
Science. 358 (2017) 6368 - p. 1271 ff. , 2017

Link: https://www.jstor.org/st..

8

Sequence Memory for Prediction, Inference and Behaviour:

Hawkins, Jeff ; George, Dileep ; Niemasik, Jamie
Philosophical Transactions: Biological Sciences. 364 (2009) 1521 - p. 1203-1209 , 2009

Link: https://www.jstor.org/st..

9

How to make computers that work like the brain:

, In: Proceedings of the 46th Annual Design Automation Conference,

George, Dileep - p. 420-423 , 2009

Link: https://dl.acm.org/doi/1..

10

Towards a Mathematical Theory of Cortical Micro-circuits:

George, Dileep ; Hawkins, Jeff ; Friston, Karl J.
PLoS Computational Biology. 5 (2009) 10 - p. e1000532 , 2009

Link: https://doi.org/10.1371/..

11

Computing with inter-spike interval codes in networks of in..:

George, Dileep ; Sommer, Friedrich T.
Neurocomputing. 65-66 (2005) - p. 415-420 , 2005

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

12

Learning Cognitive Maps from Transformer Representations fo..:

Dedieu, Antoine ; Lehrach, Wolfgang ; Zhou, Guangyao..
http://arxiv.org/abs/2401.05946. , 2024

Link: http://arxiv.org/abs/240..

13

Graph schemas as abstractions for transfer learning, infere..:

Guntupalli, J. Swaroop ; Raju, Rajkumar Vasudeva ; Kushagra, Shrinu...
http://arxiv.org/abs/2302.07350. , 2023

Link: http://arxiv.org/abs/230..

14

PushWorld: A benchmark for manipulation planning with tools..:

Kansky, Ken ; Vaidyanath, Skanda ; Swingle, Scott...
http://arxiv.org/abs/2301.10289. , 2023

Link: http://arxiv.org/abs/230..

15

DURableVS: Data-efficient Unsupervised Recalibrating Visual..:

Gothoskar, Nishad ; Lazaro-Gredilla, Miguel ; Bekiroglu, Yasemin...
10.1109/ICRA46639.2022.9811607. , 2023

Link: https://hdl.handle.net/1..