Prati
Mikołaj Bińkowski
Mikołaj Bińkowski
Research Scientist, DeepMind
Potvrđena adresa e-pošte na google.com
Naslov
Citirano
Citirano
Godina
Flamingo: a visual language model for few-shot learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in neural information processing systems 35, 23716-23736, 2022
22302022
Demystifying MMD GANs
M Bińkowski, DJ Sutherland, M Arbel, A Gretton
6th International Conference on Learning Representations, 2018
13182018
High fidelity speech synthesis with adversarial networks
M Bińkowski, J Donahue, S Dieleman, A Clark, E Elsen, N Casagrande, ...
8th International Conference on Learning Representations, 2019
2752019
End-to-end adversarial text-to-speech
J Donahue, S Dieleman, M Bińkowski, E Elsen, K Simonyan
arXiv preprint arXiv:2006.03575, 2020
2082020
Autoregressive convolutional neural networks for asynchronous time series
M Bińkowski, G Marti, P Donnat
Proceedings of the 35th International Conference on Machine Learning 80, 580-589, 2017
1842017
A review of two decades of correlations, hierarchies, networks and clustering in financial markets
G Marti, F Nielsen, M Bińkowski, P Donnat
Progress in information geometry: Theory and applications, 245-274, 2021
1492021
On gradient regularizers for MMD GANs
M Arbel, DJ Sutherland, M Bińkowski, A Gretton
Advances in neural information processing systems 31, 2018
982018
Step-unrolled denoising autoencoders for text generation
N Savinov, J Chung, M Binkowski, E Elsen, A Oord
arXiv preprint arXiv:2112.06749, 2021
762021
Flamingo: a visual language model for few-shot learning, 2022
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
URL https://arxiv. org/abs/2204.14198, 0
23
Flamingo: A visual language model for few-shot learning. arXiv 2022
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
arXiv preprint arXiv:2204.14198, 0
20
Demystifying mmd gans. arXiv 2018
M Binkowski, DJ Sutherland, M Arbel, A Gretton
arXiv preprint arXiv:1801.01401, 1801
191801
Batch Weight for Domain Adaptation With Mass Shift
M Bińkowski, RD Hjelm, A Courville
The IEEE International Conference on Computer Vision (ICCV), 1844-1853, 2019
112019
Endogenous Dynamics of Intraday Liquidity.
M Bińkowski, CA Lehalle
Journal of Portfolio Management 48 (6), 2022
5*2022
Flamingo: a Visual Language Model for Few-Shot Learning. ArXiv abs/2204.14198 (2022)
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei A …, 2021
52021
High fidelity speech synthesis with adversarial networks. arXiv 2019
M Binkowski, J Donahue, S Dieleman, A Clark, E Elsen, N Casagrande, ...
arXiv preprint arXiv:1909.11646, 0
5
High fidelity speech synthesis with adversarial networks
M Binkowski, K Simonyan, J Donahue, A Clark, SEL Dieleman, EK Elsen, ...
US Patent App. 17/032,578, 2021
42021
A Deep Learning Approach for Characterizing Major Galaxy Mergers
S Koppula, V Bapst, M Huertas-Company, S Blackwell, ...
arXiv preprint arXiv:2102.05182, 2021
32021
Adversarial Text-to-Speech for low-resource languages
A Elneima, M Bińkowski
Proceedings of the The Seventh Arabic Natural Language Processing Workshop …, 2022
22022
Generating audio data using unaligned text inputs with an adversarial network
J Donahue, K Simonyan, SEL Dieleman, M Binkowski, EK Elsen
US Patent App. 17/339,834, 2021
12021
Unsupervised one-to-many image translation
S Lavoie-Marchildon, S Lachapelle, M Bińkowski, A Courville, Y Bengio, ...
12018
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