Krzysztof Choromanski
Title
Cited by
Cited by
Year
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
2182017
Orthogonal random features
FXX Yu, AT Suresh, KM Choromanski, DN Holtmann-Rice, S Kumar
Advances in Neural Information Processing Systems, 1975-1983, 2016
199*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
892013
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
532018
Quantization based fast inner product search
R Guo, S Kumar, K Choromanski, D Simcha
Artificial Intelligence and Statistics, 482-490, 2016
482016
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
432013
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
422016
Recycling randomness with structure for sublinear time kernel expansions
K Choromanski, V Sindhwani
arXiv preprint arXiv:1605.09049, 2016
352016
On learning from label proportions
FX Yu, K Choromanski, S Kumar, T Jebara, SF Chang
arXiv preprint arXiv:1402.5902, 2014
322014
Binary embeddings with structured hashed projections
A Choromanska, K Choromanski, M Bojarski, T Jebara, S Kumar, ...
International Conference on Machine Learning, 344-353, 2016
302016
Visualbackprop: efficient visualization of cnns
M Bojarski, A Choromanska, K Choromanski, B Firner, L Jackel, U Muller, ...
arXiv preprint arXiv:1611.05418, 2016
262016
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
252017
The unreasonable effectiveness of structured random orthogonal embeddings
KM Choromanski, M Rowland, A Weller
Advances in Neural Information Processing Systems, 219-228, 2017
232017
Adaptive Anonymity via -Matching
KM Choromanski, T Jebara, K Tang
Advances in Neural Information Processing Systems, 3192-3200, 2013
212013
Forcing large transitive subtournaments
E Berger, K Choromanski, M Chudnovsky
Journal of Combinatorial Theory, Series B 112, 1-17, 2015
192015
Differentially-and non-differentially-private random decision trees
M Bojarski, A Choromanska, K Choromanski, Y LeCun
arXiv preprint arXiv:1410.6973, 2014
192014
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
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
152019
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
142019
Tournaments with near-linear transitive subsets
K Choromanski, M Chudnovsky, P Seymour
Journal of Combinatorial Theory, Series B 109, 228-249, 2014
142014
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Articles 1–20