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Krzysztof J Choromanski

from Ridgewood, NY
Age ~42
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Also known as:
Krzysztof J Chormanski, Krzysziof J Choromanski, Choromanski Kristof
Phone and address:
6015 56Th St, Flushing, NY 11378
(718) 894-1671
Related to:
Marzena Choromanska, 68Jerzy Choromanski, 70M ChoromanskiMalgorzata E Choromanski, 45
Connected to:
Jessica R Choromanski, 39Tracey C Choromanski, 60Michael A Choromokos, 41Diane S Choron, 73Ashley M Chorpash, 33Carrie A Chorpening, 51Christine M Chorpenning, 62Diane C Chorpenning, 66Reza K Chorsi, 70Dana L Chortkoff, 65

Krzysztof Choromanski Phones & Addresses

  • 6015 56Th St, Maspeth, NY 11378 (718) 894-1671
  • Ridgewood, NY
  • Brooklyn, NY
  • Fort Stewart, GA
  • 6015 56Th Rd, Maspeth, NY 11378 (718) 894-1671

Publications

Us Patents

Determining Control Policies For Robots With Noise-Tolerant Structured Exploration

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US Patent:
20200276704, Sep 3, 2020
Filed:
Sep 21, 2018
Appl. No.:
16/649598
Inventors:
- Mountain View CA, US
Atil Iscen - Brooklyn NY, US
Krzysztof Marcin Choromanski - New York NY, US
International Classification:
B25J 9/16
G06N 3/08
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optimizing the determination of control policies for robots through the performance of simulations of robots and real-world context to determine control policy parameters.

Structured Orthogonal Random Features For Kernel-Based Machine Learning

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US Patent:
20180114145, Apr 26, 2018
Filed:
Oct 25, 2017
Appl. No.:
15/793455
Inventors:
- Mountain View CA, US
Sanjiv KUMAR - Jericho NY, US
Xinnan YU - Forest Hills NY, US
Krzysztof Marcin CHOROMANSKI - New York NY, US
Ananda Theertha SURESH - New York NY, US
International Classification:
G06N 99/00
G06F 17/16
G06F 17/14
G06F 17/17
Abstract:
Techniques of generating input for a kernel-based machine learning system that uses a kernel to perform classification operations on data involve generating unbiased estimators for gaussian kernels according to a new framework called Structured Orthogonal Random Features (SORF). The unbiased estimator Kto the kernel involves a linear transformation matrix Wcomputed using products of a set of pairs of matrices, each pair including an orthogonal matrix and respective diagonal matrix whose elements are real numbers following a specified probability distribution. Typically, the orthogonal matrix is a Walsh-Hadamard matrix, the specified probability distribution is a Rademacher distribution, and there are at least two, usually three, pairs of matrices multiplied together to form the linear transformation matrix W.
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Krzysztof J Choromanski from Ridgewood, NY, age ~42 Get Report