Sergey Ioffe
E213533
Sergey Ioffe is a computer scientist and researcher in machine learning, best known for co-authoring the influential Batch Normalization technique widely used in deep neural networks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sergey Ioffe canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T921648 — 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: Sergey Ioffe Context triple: [Christian Szegedy, coAuthor, Sergey Ioffe]
-
A.
Nikolai Tikhonov
Nikolai Tikhonov was a Soviet statesman and economist who served as Premier of the Soviet Union during the early 1980s under Leonid Brezhnev and his successors.
-
B.
Nikolai Sokoloff
Nikolai Sokoloff was a Russian-American conductor best known as the founding music director of the Cleveland Orchestra and a prominent leader in U.S. government-sponsored music initiatives during the New Deal era.
-
C.
Fedor Reingold
Fedor Reingold was one of the individuals prosecuted in the Soviet "Trial of the Sixteen," a major Stalin-era show trial targeting alleged political opponents.
-
D.
Igor Vladimirovich Girsanov
Igor Vladimirovich Girsanov was a Soviet mathematician best known for his fundamental contributions to probability theory and stochastic processes.
-
E.
Gennady Eliashberg
Gennady Eliashberg is a Russian theoretical physicist known for his influential work in condensed matter physics, particularly in the development of Eliashberg theory of superconductivity.
- 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: Sergey Ioffe Target entity description: Sergey Ioffe is a computer scientist and researcher in machine learning, best known for co-authoring the influential Batch Normalization technique widely used in deep neural networks.
-
A.
Nikolai Tikhonov
Nikolai Tikhonov was a Soviet statesman and economist who served as Premier of the Soviet Union during the early 1980s under Leonid Brezhnev and his successors.
-
B.
Nikolai Sokoloff
Nikolai Sokoloff was a Russian-American conductor best known as the founding music director of the Cleveland Orchestra and a prominent leader in U.S. government-sponsored music initiatives during the New Deal era.
-
C.
Fedor Reingold
Fedor Reingold was one of the individuals prosecuted in the Soviet "Trial of the Sixteen," a major Stalin-era show trial targeting alleged political opponents.
-
D.
Igor Vladimirovich Girsanov
Igor Vladimirovich Girsanov was a Soviet mathematician best known for his fundamental contributions to probability theory and stochastic processes.
-
E.
Gennady Eliashberg
Gennady Eliashberg is a Russian theoretical physicist known for his influential work in condensed matter physics, particularly in the development of Eliashberg theory of superconductivity.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
machine learning researcher ⓘ researcher ⓘ |
| citationImpact | highly cited researcher in machine learning ⓘ |
| coAuthoredWith | Christian Szegedy ⓘ |
| coAuthorOf |
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
ⓘ
linked to:
Batch Normalization
|
| coInvented | Batch Normalization ⓘ |
| contributedTo |
optimization techniques for deep learning
ⓘ
regularization methods in neural networks ⓘ |
| countryOfCitizenship |
United States
ⓘ
linked to:
United States of America
|
| educatedAt | Massachusetts Institute of Technology ⓘ |
| employer | Google ⓘ |
| fieldOfWork |
computer vision
ⓘ
deep learning ⓘ machine learning ⓘ pattern recognition ⓘ |
| gender | male ⓘ |
| hasAcademicDegree | PhD in computer science ⓘ |
| influenced |
convergence speed of deep learning models
ⓘ
stability of deep neural network training ⓘ training methods for deep neural networks ⓘ |
| knownFor | Batch Normalization ⓘ |
| language | English ⓘ |
| notableWork |
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
ⓘ
linked to:
Batch Normalization
|
| publishedIn |
IEEE Conference on Computer Vision and Pattern Recognition
ⓘ
International Conference on Machine Learning ⓘ
linked to:
ICML
Neural Information Processing Systems ⓘ
linked to:
NeurIPS
|
| researchInterest |
large-scale visual recognition
ⓘ
neural networks ⓘ representation learning ⓘ |
| workedAt | Google Research ⓘ |
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: Sergey Ioffe Description of subject: Sergey Ioffe is a computer scientist and researcher in machine learning, best known for co-authoring the influential Batch Normalization technique widely used in deep neural networks.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.