Krzysztof Choromanski

About Krzysztof Choromanski

Krzysztof Choromanski, With an exceptional h-index of 33 and a recent h-index of 31 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of robotics, reinforcement learning, high-dimensional optimization, quasi Monte Carlo methods, onmanifold differential equations.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning a fourier transform for linear relative positional encodings in transformers

Augmenting Conformers With Structured State-Space Sequence Models For Online Speech Recognition

Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity

UNSUPERVISED ANOMALY DETECTION FOR AUTONOMOUS VEHICLES

Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel

Quasi-monte carlo graph random features

Mnemosyne: Learning to Train Transformers with Transformers

Sara-rt: Scaling up robotics transformers with self-adaptive robust attention

Krzysztof Choromanski Information

University

Position

Google Brain Robotics New York &

Citations(all)

6346

Citations(since 2020)

5803

Cited By

1532

hIndex(all)

33

hIndex(since 2020)

31

i10Index(all)

63

i10Index(since 2020)

57

Email

University Profile Page

Google Scholar

Krzysztof Choromanski Skills & Research Interests

robotics

reinforcement learning

high-dimensional optimization

quasi Monte Carlo methods

onmanifold differential equations

Top articles of Krzysztof Choromanski

Learning a fourier transform for linear relative positional encodings in transformers

2024/4/18

Augmenting Conformers With Structured State-Space Sequence Models For Online Speech Recognition

arXiv preprint arXiv:2309.08551

2023/9/15

Haozhe Shan
Haozhe Shan

H-Index: 2

Albert Gu
Albert Gu

H-Index: 7

Krzysztof Choromanski
Krzysztof Choromanski

H-Index: 19

Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity

arXiv preprint arXiv:2404.03570

2024/4/4

UNSUPERVISED ANOMALY DETECTION FOR AUTONOMOUS VEHICLES

2024/2/29

Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel

Advances in Neural Information Processing Systems

2024/2/13

Quasi-monte carlo graph random features

Advances in Neural Information Processing Systems

2024/2/13

Mnemosyne: Learning to Train Transformers with Transformers

Advances in Neural Information Processing Systems

2024/2/13

Sara-rt: Scaling up robotics transformers with self-adaptive robust attention

arXiv preprint arXiv:2312.01990

2023/12/4

42. Automated deep aberration detection from chromosome karyotype images

Cancer Genetics

2023/11/1

Scalable Neural Network Kernels

arXiv preprint arXiv:2310.13225

2023/10/20

Repelling Random Walks

arXiv preprint arXiv:2310.04854

2023/10/7

Krzysztof Choromanski
Krzysztof Choromanski

H-Index: 19

Adrian Weller
Adrian Weller

H-Index: 21

Universal Graph Random Features

arXiv preprint arXiv:2310.04859

2023/10/7

Krzysztof Choromanski
Krzysztof Choromanski

H-Index: 19

Adrian Weller
Adrian Weller

H-Index: 21

Robotic table tennis: A case study into a high speed learning system

arXiv preprint arXiv:2309.03315

2023/9/6

Determining control policies for robots with noise-tolerant structured exploration

2023/7/11

Taming graph kernels with random features

2023/7/3

On the expressive flexibility of self-attention matrices

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Agile Catching with Whole-Body MPC and Blackbox Policy Learning

2023/6/6

See List of Professors in Krzysztof Choromanski University(Columbia University in the City of New York)