Lukasz Kaiser

E260054

Łukasz Kaiser is a computer scientist known for his influential work in deep learning and sequence modeling, including co-authoring the Transformer architecture.

All labels observed (2)

Label Occurrences
Lukasz Kaiser canonical 1
Łukasz Kaiser 1

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Statements (49)

Predicate Object
instanceOf computer scientist
researcher
citizenship Poland
coAuthorOf Attention Is All You Need
Neural Discrete Representation Learning
surface form: Discrete Autoencoders for Sequence Models

Fast Decoding in Sequence Models Using Discrete Latent Variables
Neural Machine Translation in Linear Time
One Model To Learn Them All
Reformer: The Efficient Transformer
Tensor2Tensor for Neural Machine Translation
Training Deep Nets with Sublinear Memory Cost
collaboratedWith Aidan N. Gomez
Ashish Vaswani
Illia Polosukhin
Jakob Uszkoreit
Llion Jones
Niki Parmar
Noam Shazeer
developed Tensor2Tensor library
surface form: Tensor2Tensor

Trax library
doctoralAdvisor Jean-Éric Pin
educatedAt University of Wrocław
École Normale Supérieure de Lyon
surface form: École normale supérieure de Lyon
employer Google Brain
Google Research
OpenAI
fieldOfWork artificial intelligence
automata theory
computer science
deep learning
formal verification
machine learning
natural language processing
sequence modeling
hasAcademicDegree PhD in computer science
knownFor Reformer architecture
Tensor2Tensor library
Transformer
surface form: Transformer architecture

neural machine translation
research on efficient Transformers
sequence-to-sequence learning
nativeLanguage Polish
notableStudent Noam Shazeer
position research scientist
staff research scientist
researchInterest algorithmic reasoning
automated theorem proving
formal languages
neural networks

How these facts were elicited

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Quoc V. Le coAuthorWith Lukasz Kaiser
Transformer introducedBy Lukasz Kaiser
this entity surface form: Łukasz Kaiser