Sarath Chandar
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Mila, Polytechnic School of Montrealas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-9678-2830as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- OpenAlex ID
- A5027720969as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 10
Are self-explanations from Large Language Models faithful?,
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph,
Correlational Neural Networks,
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness,
Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes,
IIRC: Incremental Implicitly-Refined Classification,
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks,
The Hanabi challenge: A new frontier for AI research
+2 more
← Authored by 10
Are self-explanations from Large Language Models faithful?,
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph,
Correlational Neural Networks,
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness,
Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes,
IIRC: Incremental Implicitly-Refined Classification,
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks,
The Hanabi challenge: A new frontier for AI research
+2 more
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Summary
Sarath Chandar is a human[1].