Krzysztof Choromanski
Krzysztof Choromanski
Google Brain Robotics New York & Columbia University
columbia.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Explaining how a deep neural network trained with end-to-end learning steers a car
M Bojarski, P Yeres, A Choromanska, K Choromanski, B Firner, L Jackel, ...
arXiv preprint arXiv:1704.07911, 2017
2402017
Orthogonal random features
FXX Yu, AT Suresh, KM Choromanski, DN Holtmann-Rice, S Kumar
Advances in Neural Information Processing Systems, 1975-1983, 2016
214*2016
Scale-free graph with preferential attachment and evolving internal vertex structure
K Choromański, M Matuszak, J Miȩkisz
Journal of Statistical Physics 151 (6), 1175-1183, 2013
942013
Structured evolution with compact architectures for scalable policy optimization
K Choromanski, M Rowland, V Sindhwani, RE Turner, A Weller
arXiv preprint arXiv:1804.02395, 2018
592018
Quantization based fast inner product search
R Guo, S Kumar, K Choromanski, D Simcha
Artificial Intelligence and Statistics, 482-490, 2016
512016
Visualbackprop: visualizing cnns for autonomous driving
M Bojarski, A Choromanska, K Choromanski, B Firner, L Jackel, U Muller, ...
arXiv preprint arXiv:1611.05418 2, 2016
452016
Tournaments and colouring
E Berger, K Choromanski, M Chudnovsky, J Fox, M Loebl, A Scott, ...
Journal of Combinatorial Theory, Series B 103 (1), 1-20, 2013
452013
Recycling randomness with structure for sublinear time kernel expansions
K Choromanski, V Sindhwani
arXiv preprint arXiv:1605.09049, 2016
362016
Binary embeddings with structured hashed projections
A Choromanska, K Choromanski, M Bojarski, T Jebara, S Kumar, ...
International Conference on Machine Learning, 344-353, 2016
332016
On learning from label proportions
FX Yu, K Choromanski, S Kumar, T Jebara, SF Chang
arXiv preprint arXiv:1402.5902, 2014
332014
The unreasonable effectiveness of structured random orthogonal embeddings
KM Choromanski, M Rowland, A Weller
Advances in neural information processing systems 30, 219-228, 2017
292017
Visualbackprop: efficient visualization of cnns
M Bojarski, A Choromanska, K Choromanski, B Firner, L Jackel, U Muller, ...
arXiv preprint arXiv:1611.05418, 2016
282016
Structured adaptive and random spinners for fast machine learning computations
M Bojarski, A Choromanska, K Choromanski, F Fagan, C Gouy-Pailler, ...
Artificial Intelligence and Statistics, 1020-1029, 2017
272017
Forcing large transitive subtournaments
E Berger, K Choromanski, M Chudnovsky
Journal of Combinatorial Theory, Series B 112, 1-17, 2015
222015
Es-maml: Simple hessian-free meta learning
X Song, W Gao, Y Yang, K Choromanski, A Pacchiano, Y Tang
arXiv preprint arXiv:1910.01215, 2019
212019
Adaptive Anonymity via -Matching
KM Choromanski, T Jebara, K Tang
Advances in Neural Information Processing Systems, 3192-3200, 2013
212013
Differentially-and non-differentially-private random decision trees
M Bojarski, A Choromanska, K Choromanski, Y LeCun
arXiv preprint arXiv:1410.6973, 2014
202014
Method of transmitting packet data in a communication system
CW You, JH Ahn, SH Yoon, YJ Lee
US Patent 7,551,639, 2009
19*2009
From complexity to simplicity: Adaptive es-active subspaces for blackbox optimization
KM Choromanski, A Pacchiano, J Parker-Holder, Y Tang, V Sindhwani
Advances in Neural Information Processing Systems, 10299-10309, 2019
172019
A theoretical and empirical comparison of gradient approximations in derivative-free optimization
AS Berahas, L Cao, K Choromanski, K Scheinberg
arXiv preprint arXiv:1905.01332, 2019
162019
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20