Alex Graves

Alex Graves

University of Toronto

H-index: 61

North America-Canada

About Alex Graves

Alex Graves, With an exceptional h-index of 61 and a recent h-index of 55 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Artificial Intelligence, Recurrent Neural Networks, Handwriting Recognition, Speech recognition.

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

Bayesian flow networks

A practical sparse approximation for real time recurrent learning

Practical real time recurrent learning with a sparse approximation

Alex Graves Information

University

Position

___

Citations(all)

130584

Citations(since 2020)

99321

Cited By

71314

hIndex(all)

61

hIndex(since 2020)

55

i10Index(all)

88

i10Index(since 2020)

80

Email

University Profile Page

University of Toronto

Google Scholar

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Alex Graves Skills & Research Interests

Artificial Intelligence

Recurrent Neural Networks

Handwriting Recognition

Speech recognition

Top articles of Alex Graves

Title

Journal

Author(s)

Publication Date

Bayesian flow networks

arXiv preprint arXiv:2308.07037

Alex Graves

Rupesh Kumar Srivastava

Timothy Atkinson

Faustino Gomez

2023/8/14

A practical sparse approximation for real time recurrent learning

arXiv preprint arXiv:2006.07232

Jacob Menick

Erich Elsen

Utku Evci

Simon Osindero

Karen Simonyan

...

2020/6/12

Practical real time recurrent learning with a sparse approximation

Jacob Menick

Erich Elsen

Utku Evci

Simon Osindero

Karen Simonyan

...

2020/10/2

See List of Professors in Alex Graves University(University of Toronto)