Balaraman Ravindran
Ph.D. University of Massachusetts Amherst 2004
Facts
8 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- University of Massachusetts Amherst[3]
- Award received
- AAAI Fellow[5]
- Official website
- www.cse.iitm.ac.in[7]
- Doctoral advisor
- Andrew Barto[4]
🏷️ Also known as
en Balaraman Ravindran
🔖 Identifiers · 8
- ORCID iD
- 0000-0002-5364-7639
- OpenAlex ID
- A5009374923as 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
- DBLP author ID
- 69/2281
- Dimensions author ID
- 011456734605.51
- Google Knowledge Graph ID
- /g/11f0yxrm5y
- Google Scholar author ID
- nGUcGrYAAAAJ
- MR Author ID
- 601148
- Mathematics Genealogy Project ID
- 128015
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 24
A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making,
Correlational Neural Networks,
Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic,
Dynamic Action Repetition for Deep Reinforcement Learning,
Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates,
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks,
Extended discriminative random walk: a hypergraph approach to multi-view multi-relational transductive learning,
Hybrid self-supervised learning-based architecture for construction progress monitoring
+16 more
← Authored by 24
A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making,
Correlational Neural Networks,
Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic,
Dynamic Action Repetition for Deep Reinforcement Learning,
Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates,
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks,
Extended discriminative random walk: a hypergraph approach to multi-view multi-relational transductive learning,
Hybrid self-supervised learning-based architecture for construction progress monitoring
+16 more
Affiliated with 4
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Summary
Balaraman Ravindran worked as a researcher[1].
FAQs
What did Balaraman Ravindran do for work?
Balaraman Ravindran worked as researcher[1].
Where did Balaraman Ravindran go to school?
Balaraman Ravindran was educated at University of Massachusetts Amherst[3].
What awards did Balaraman Ravindran receive?
Honors received include AAAI Fellow[5].