Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations.
|
ICML |
2024 |
0 |
Transformer-based World Models Are Happy With 100k Interactions.
|
ICLR |
2023 |
0 |
Learning Conditional Generative Models for Phase Retrieval.
|
JMLR |
2023 |
0 |
Learning to Plan via a Multi-step Policy Regression Method.
|
ICANN |
2021 |
0 |
Non-iterative Phase Retrieval with Cascaded Neural Networks.
|
ICANN |
2021 |
7 |
Modular Block-diagonal Curvature Approximations for Feedforward Architectures.
|
AISTATS |
2020 |
0 |
Learning to Deblur.
|
TPAMI |
2016 |
0 |
Attribute-Based Classification for Zero-Shot Visual Object Categorization.
|
TPAMI |
2014 |
1347 |
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit.
|
CVPR |
2013 |
3 |
A Machine Learning Approach for Non-blind Image Deconvolution.
|
CVPR |
2013 |
271 |
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database.
|
ECCV |
2012 |
365 |
Blind Correction of Optical Aberrations.
|
ECCV |
2012 |
42 |
Image denoising: Can plain neural networks compete with BM3D?
|
CVPR |
2012 |
1143 |
Non-stationary correction of optical aberrations.
|
ICCV |
2011 |
78 |
Fast removal of non-uniform camera shake.
|
ICCV |
2011 |
312 |
Greedy Learning of Binary Latent Trees.
|
TPAMI |
2011 |
55 |
Efficient filter flow for space-variant multiframe blind deconvolution.
|
CVPR |
2010 |
232 |
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake.
|
NIPS/NeurIPS |
2010 |
132 |
How to Explain Individual Classification Decisions.
|
JMLR |
2010 |
0 |
Learning to detect unseen object classes by between-class attribute transfer.
|
CVPR |
2009 |
2101 |
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation.
|
JMLR |
2003 |
4 |
Kernel Feature Spaces and Nonlinear Blind Souce Separation.
|
NIPS/NeurIPS |
2001 |
32 |