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
2682017
Orthogonal random features
FX Yu, AT Suresh, K Choromanski, D Holtmann-Rice, S Kumar
arXiv preprint arXiv:1610.09072, 2016
1242016
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
962013
Structured evolution with compact architectures for scalable policy optimization
K Choromanski, M Rowland, V Sindhwani, R Turner, A Weller
International Conference on Machine Learning, 970-978, 2018
662018
Quantization based fast inner product search
R Guo, S Kumar, K Choromanski, D Simcha
Artificial Intelligence and Statistics, 482-490, 2016
562016
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
502016
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
442013
Recycling randomness with structure for sublinear time kernel expansions
K Choromanski, V Sindhwani
International Conference on Machine Learning, 2502-2510, 2016
392016
On learning from label proportions
FX Yu, K Choromanski, S Kumar, T Jebara, SF Chang
arXiv preprint arXiv:1402.5902, 2014
362014
The unreasonable effectiveness of structured random orthogonal embeddings
K Choromanski, M Rowland, A Weller
arXiv preprint arXiv:1703.00864, 2017
342017
Visualbackprop: efficient visualization of cnns
M Bojarski, A Choromanska, K Choromanski, B Firner, L Jackel, U Muller, ...
arXiv preprint arXiv:1611.05418, 2016
332016
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
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
292017
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
282019
Forcing large transitive subtournaments
E Berger, K Choromanski, M Chudnovsky
Journal of Combinatorial Theory, Series B 112, 1-17, 2015
232015
Differentially-and non-differentially-private random decision trees
M Bojarski, A Choromanska, K Choromanski, Y LeCun
arXiv preprint arXiv:1410.6973, 2014
232014
Adaptive Anonymity via -Matching
KM Choromanski, T Jebara, K Tang
Advances in Neural Information Processing Systems 26, 3192-3200, 2013
232013
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
222019
Visualbackprop: Efficient visualization of cnns for autonomous driving
M Bojarski, A Choromanska, K Choromanski, B Firner, LJ Ackel, U Muller, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 4701-4708, 2018
212018
From complexity to simplicity: Adaptive es-active subspaces for blackbox optimization
K Choromanski, A Pacchiano, J Parker-Holder, Y Tang
arXiv preprint arXiv:1903.04268, 2019
202019
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Articles 1–20