Valerii Likhosherstov

Valerii Likhosherstov

University of Cambridge

H-index: 11

Europe-United Kingdom

About Valerii Likhosherstov

Valerii Likhosherstov, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Machine Learning.

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

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

FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features

42. Automated deep aberration detection from chromosome karyotype images

Simplex random features

Scalable Neural Network Kernels

Random features for efficient attention approximation

Adaptive computation with elastic input sequence

Valerii Likhosherstov Information

University

Position

Student

Citations(all)

1449

Citations(since 2020)

1442

Cited By

79

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Valerii Likhosherstov Skills & Research Interests

Machine Learning

Top articles of Valerii Likhosherstov

Title

Journal

Author(s)

Publication Date

Learning a fourier transform for linear relative positional encodings in transformers

Krzysztof Choromanski

Shanda Li

Valerii Likhosherstov

Kumar Avinava Dubey

Shengjie Luo

...

2024/4/18

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

Advances in Neural Information Processing Systems

Valerii Likhosherstov

Krzysztof M Choromanski

Kumar Avinava Dubey

Frederick Liu

Tamas Sarlos

...

2024/2/13

FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features

arXiv preprint arXiv:2302.00787

Valerii Likhosherstov

Krzysztof Choromanski

Avinava Dubey

Frederick Liu

Tamas Sarlos

...

2023/2/1

42. Automated deep aberration detection from chromosome karyotype images

Cancer Genetics

Min Fang

Zahra Shamsi

Drew Bryant

Jacob Wilson

Xiaoyu Qu

...

2023/11/1

Simplex random features

Isaac Reid

Krzysztof Marcin Choromanski

Valerii Likhosherstov

Adrian Weller

2023/7/3

Scalable Neural Network Kernels

arXiv preprint arXiv:2310.13225

Arijit Sehanobish

Krzysztof Choromanski

Yunfan Zhao

Avinava Dubey

Valerii Likhosherstov

2023/10/20

Random features for efficient attention approximation

Valerii Likhosherstov

2023/5/2

Adaptive computation with elastic input sequence

Fuzhao Xue

Valerii Likhosherstov

Anurag Arnab

Neil Houlsby

Mostafa Dehghani

...

2023/7/3

Efficient graph field integrators meet point clouds

Krzysztof Marcin Choromanski

Arijit Sehanobish

Han Lin

Yunfan Zhao

Eli Berger

...

2023/7/3

On the expressive flexibility of self-attention matrices

Proceedings of the AAAI Conference on Artificial Intelligence

Valerii Likhosherstov

Krzysztof Choromanski

Adrian Weller

2023/6/26

From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers

Krzysztof Choromanski

Han Lin

Haoxian Chen

Tianyi Zhang

Arijit Sehanobish

...

2022/6/28

Karyotype AI for Precision Oncology

arXiv preprint arXiv:2211.14312

Zahra Shamsi

Drew Bryant

Jacob Wilson

Xiaoyu Qu

Avinava Dubey

...

2022/11/20

Polyvit: Co-training vision transformers on images, videos and audio

arXiv preprint arXiv:2111.12993

Valerii Likhosherstov

Anurag Arnab

Krzysztof Choromanski

Mario Lucic

Yi Tay

...

2021/11/25

Chefs' random tables: Non-trigonometric random features

Advances in Neural Information Processing Systems

Valerii Likhosherstov

Krzysztof M Choromanski

Kumar Avinava Dubey

Frederick Liu

Tamas Sarlos

...

2022/12/6

Unlocking pixels for reinforcement learning via implicit attention

arXiv preprint arXiv:2102.04353

Krzysztof Marcin Choromanski

Deepali Jain

Wenhao Yu

Xingyou Song

Jack Parker-Holder

...

2021/2/8

Debiasing a first-order heuristic for approximate bi-level optimization

Valerii Likhosherstov

Xingyou Song

Krzysztof Choromanski

Jared Q Davis

Adrian Weller

2021/7/1

CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices

Valerii Likhosherstov

Jared Davis

Krzysztof Choromanski

Adrian Weller

2021/3/18

Sub-linear memory: How to make performers slim

Advances in Neural Information Processing Systems

Valerii Likhosherstov

Krzysztof M Choromanski

Jared Quincy Davis

Xingyou Song

Adrian Weller

2021/12/6

Hybrid random features

arXiv preprint arXiv:2110.04367

Krzysztof Choromanski

Haoxian Chen

Han Lin

Yuanzhe Ma

Arijit Sehanobish

...

2021/10/8

On the expressive power of self-attention matrices

arXiv preprint arXiv:2106.03764

Valerii Likhosherstov

Krzysztof Choromanski

Adrian Weller

2021/6/7

See List of Professors in Valerii Likhosherstov University(University of Cambridge)