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Razvan Pascanu

machine learning researcher
Person human Q47012846

Facts

16 properties
Instance of
human
Sex or gender
male[7]
Country of citizenship
Romania[2]
Occupation
computer scientist
Employer
Google DeepMind[4]
Field of work
machine learning[3]
Educated at
Constructor University Bremen, Université de Montréal (?–2014)[5]
Official website
sites.google.com[10]
Website
sites.google.com
Citizenship
Romania
Doctoral advisor
Yoshua Bengio[6]
Languages spoken, written or signed
Romanian, English[11][12]
Family name
Pașcanu[8]
Given name
Răzvan[9]
Maintained by WikiProject
WikiProject Mathematics[13]
Twitter
rpascanu
🏷️ Also known as
en Razvan Pascanu ro Răzvan Pașcanu
🔖 Identifiers · 8
ORCID iD
0000-0002-5470-1238
OpenAlex ID
A5043910056as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
ACM Digital Library author ID
81479660618
Google Scholar author ID
eSPY8LwAAAAJ
MR Author ID
978742
Mathematics Genealogy Project ID
259801
X (Twitter) username
rpascanu (2009–present)
ZbMATH author ID
pascanu.razvan

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 27
Continual Unsupervised Representation Learning, Deep reinforcement learning with relational inductive biases, Discovering objects and their relations from entangled scene representations, Functional Regularisation for Continual Learning with Gaussian Processes, Hadamard Product in Deep Learning: Introduction, Advances and Challenges, Imagination-Augmented Agents for Deep Reinforcement Learning, Improving the Gating Mechanism of Recurrent Neural Networks, Information asymmetry in KL-regularized RL +19 more
← Authored by 27
Continual Unsupervised Representation Learning, Deep reinforcement learning with relational inductive biases, Discovering objects and their relations from entangled scene representations, Functional Regularisation for Continual Learning with Gaussian Processes, Hadamard Product in Deep Learning: Introduction, Advances and Challenges, Imagination-Augmented Agents for Deep Reinforcement Learning, Improving the Gating Mechanism of Recurrent Neural Networks, Information asymmetry in KL-regularized RL +19 more
Affiliated with 5
Google, University of Oxford, Google DeepMind, Université de Montréal, Google (United Kingdom)
Educated at 2
Université de Montréal, Constructor University Bremen
Field of work 2
computer science, machine learning
Languages spoken, written or signed 2
English, Romanian
Country of citizenship 1
Romania
Doctoral advisor 1
Yoshua Bengio
Doctoral advisors 1
Yoshua Bengio
Employer 1
Google DeepMind
Given name 1
Răzvan
Instance of 1
human
Maintained by WikiProject 1
WikiProject Mathematics
Occupation 1
computer scientist
Sex or gender 1
male
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Summary

Razvan Pascanu worked as a computer scientist[1].

FAQs

What did Razvan Pascanu do for work?

Razvan Pascanu worked as computer scientist[1].

Where did Razvan Pascanu go to school?

Razvan Pascanu was educated at Jacobs University Bremen[5].

Related Entities

computer science computer scientist Google Google DeepMind machine learning Romania Yoshua Bengio

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [7] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [5] ↑ . sites.google.com. Retrieved . sites.google.com. Provenance: wikidata.org.
  4. [3] ↑ . wikidata.org.
  5. [1] ↑ . wikidata.org.
  6. [4] ↑ . wikidata.org.
  7. [6] ↑ . Mathematics Genealogy Project. wikidata.org.
  8. [8] ↑ . wikidata.org.
  9. [9] ↑ . wikidata.org.
  10. [10] ↑ . wikidata.org.
  11. [11] ↑ . sites.google.com. Retrieved . sites.google.com. Provenance: wikidata.org.
  12. [12] ↑ . sites.google.com. Retrieved . sites.google.com. Provenance: wikidata.org.
  13. [13] ↑ . wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Razvan Pascanu. Retrieved October 25, 2026, from https://4ort.xyz/entity/razvan-pascanu
MLA “Razvan Pascanu.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/razvan-pascanu.
BibTeX @misc{4ortxyz_razvan-pascanu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Razvan Pascanu}}, year = {2026}, url = {https://4ort.xyz/entity/razvan-pascanu}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Razvan Pascanu — https://4ort.xyz/entity/razvan-pascanu (retrieved 2026-10-25)

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