E-LIB Suche - Ergebnisse für: Lazaro-Gredilla, Miguel

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

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/..

6

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..

7

Laplace Approximation for Divisive Gaussian Processes for N..:

Muñoz-Gonzalez, Luis ; Lázaro-Gredilla, Miguel ; Figueiras-Vidal, Aníbal R.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 38 (2016) 3 - p. 618-624 , 2016

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

8

A Gaussian Process Model for Data Association and a Semidef..:

Lazaro-Gredilla, Miguel ; Van Vaerenbergh, Steven
IEEE Transactions on Neural Networks and Learning Systems. 25 (2014) 11 - p. 1967-1979 , 2014

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

9

Divisive Gaussian Processes for Nonstationary Regression:

Munoz-Gonzalez, Luis ; Lazaro-Gredilla, Miguel ; Figueiras-Vidal, Anibal R.
IEEE Transactions on Neural Networks and Learning Systems. 25 (2014) 11 - p. 1991-2003 , 2014

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

10

Low-cost model selection for SVMs using local features:

Lázaro-Gredilla, Miguel ; Gómez-Verdejo, Vanessa ; Parrado-Hernández, Emilio
Engineering Applications of Artificial Intelligence. 25 (2012) 6 - p. 1203-1211 , 2012

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

11

Overlapping Mixtures of Gaussian Processes for the data ass..:

Lázaro-Gredilla, Miguel ; Van Vaerenbergh, Steven ; Lawrence, Neil D.
Pattern Recognition. 45 (2012) 4 - p. 1386-1395 , 2012

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

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..

14

Schema-learning and rebinding as mechanisms of in-context l..:

Swaminathan, Sivaramakrishnan ; Dedieu, Antoine ; Raju, Rajkumar Vasudeva...
http://arxiv.org/abs/2307.01201. , 2023

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

15

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..