Léon Bottou
E74927
Léon Bottou is a French computer scientist known for his influential work in machine learning and neural networks, including key contributions to the development of the LeNet convolutional network.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Léon Bottou canonical | 13 |
| Bottou | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T591869 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Léon Bottou Context triple: [LeNet, developer, Léon Bottou]
-
A.
Samy Bengio
Samy Bengio is a prominent machine learning researcher known for his contributions to deep learning and his leadership roles at major AI organizations including Google and Apple.
-
B.
Yoshua Bengio
Yoshua Bengio is a Canadian computer scientist and deep learning pioneer whose work on neural networks and representation learning has been foundational to modern artificial intelligence.
-
C.
Yann LeCun
Yann LeCun is a pioneering computer scientist best known for his foundational work in deep learning and convolutional neural networks, which has profoundly shaped modern artificial intelligence.
-
D.
Geoffrey Hinton
Geoffrey Hinton is a pioneering computer scientist widely regarded as one of the founding figures of deep learning and modern artificial intelligence.
-
E.
Ian Goodfellow
Ian Goodfellow is a machine learning researcher best known for inventing Generative Adversarial Networks (GANs) and co-authoring the influential textbook "Deep Learning."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Léon Bottou Target entity description: Léon Bottou is a French computer scientist known for his influential work in machine learning and neural networks, including key contributions to the development of the LeNet convolutional network.
-
A.
Samy Bengio
Samy Bengio is a prominent machine learning researcher known for his contributions to deep learning and his leadership roles at major AI organizations including Google and Apple.
-
B.
Yoshua Bengio
Yoshua Bengio is a Canadian computer scientist and deep learning pioneer whose work on neural networks and representation learning has been foundational to modern artificial intelligence.
-
C.
Yann LeCun
Yann LeCun is a pioneering computer scientist best known for his foundational work in deep learning and convolutional neural networks, which has profoundly shaped modern artificial intelligence.
-
D.
Geoffrey Hinton
Geoffrey Hinton is a pioneering computer scientist widely regarded as one of the founding figures of deep learning and modern artificial intelligence.
-
E.
Ian Goodfellow
Ian Goodfellow is a machine learning researcher best known for inventing Generative Adversarial Networks (GANs) and co-authoring the influential textbook "Deep Learning."
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
person ⓘ researcher ⓘ |
| citizenship | France ⓘ |
| coauthorWith |
Frank Pereira
ⓘ
Jason Weston ⓘ Olivier Bousquet ⓘ Patrick Haffner ⓘ Yann LeCun ⓘ Yoshua Bengio ⓘ |
| educatedAt |
Université Paris-Sud
ⓘ
École Polytechnique ⓘ |
| employer |
Meta AI
ⓘ
surface form:
Facebook AI Research
Meta Platforms, Inc. ⓘ
surface form:
Meta Platforms
|
| familyName |
Léon Bottou
self-linksurface differs
ⓘ
surface form:
Bottou
|
| fieldOfWork |
large-scale learning
ⓘ
machine learning ⓘ neural networks ⓘ optimization ⓘ statistical learning ⓘ stochastic gradient descent ⓘ |
| givenName | Léon ⓘ |
| hasAcademicAdvisor | Vladimir Vapnik ⓘ |
| hasAward |
SIGKDD Innovation Award
ⓘ
surface form:
ACM SIGKDD Innovation Award
|
| hasPublication |
“Counterfactual Reasoning and Learning Systems”
ⓘ
“From Machine Learning to Machine Reasoning” ⓘ “Large-Scale Machine Learning with Stochastic Gradient Descent” ⓘ “Stochastic Gradient Descent Tricks” ⓘ “The Tradeoffs of Large Scale Learning” ⓘ |
| knownFor |
contributions to LeNet convolutional network
ⓘ
online learning algorithms ⓘ stochastic gradient descent methods ⓘ theory and practice of large-scale machine learning ⓘ |
| language |
English
ⓘ
French ⓘ |
| memberOf |
Meta AI
ⓘ
surface form:
Facebook AI Research group
|
| name | Léon Bottou self-link ⓘ |
| nationality | French ⓘ |
| notableWork |
LeNet
ⓘ
surface form:
LeNet-5 convolutional neural network (with Yann LeCun and others)
|
| researchInterest |
convex optimization
ⓘ
non-convex optimization ⓘ scalable learning algorithms ⓘ theoretical foundations of machine learning ⓘ |
| workInstitution |
Bell Telephone Laboratories
ⓘ
surface form:
AT&T Bell Labs
Meta AI ⓘ
surface form:
Facebook AI Research
Microsoft ⓘ
surface form:
Microsoft Research
NEC Research Institute ⓘ
surface form:
NEC Labs America
NEC Research Institute ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Léon Bottou Description of subject: Léon Bottou is a French computer scientist known for his influential work in machine learning and neural networks, including key contributions to the development of the LeNet convolutional network.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Bottou
subject surface form:
Stochastic Gradient Descent Tricks
subject surface form:
From Machine Learning to Machine Reasoning
subject surface form:
From Machine Learning to Machine Reasoning
subject surface form:
Counterfactual Reasoning and Learning Systems
subject surface form:
The Tradeoffs of Large Scale Learning
subject surface form:
Large-Scale Machine Learning with Stochastic Gradient Descent