
Sarath Chandar Anbil Parthipan
- Professeur associé
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Faculté des arts et des sciences - Département d'informatique et de recherche opérationnelle
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Profile
Research expertise
Intérêts de recherche
- Réseaux de neurones récurrents
- Apprentissage continu
- Apprentissage par renforcement
- Apprentissage profond
- Traitement du langage naturel
- Apprentissage machine
- Intelligence artificielle
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Teaching and supervision
Student supervision
Theses and dissertation supervision (Papyrus Institutional Repository)
The role of continual learning and adaptive computation in improving computational efficiency of deep learning
Cycle : Master's
Grade : M. Sc.
Towards adaptive deep model-based reinforcement learning
Cycle : Master's
Grade : M. Sc.
Benchmarking bias mitigation algorithms in representation learning through fairness metrics
Cycle : Master's
Grade : M. Sc.
IIRC : Incremental Implicitly-Refined Classification
Cycle : Master's
Grade : M. Sc.
Continuous coordination as a realistic scenario for lifelong learning
Cycle : Master's
Grade : M. Sc.
PatchUp : a feature-space block-level regularization technique for convolutional neural networks
Cycle : Master's
Grade : M. Sc.
Projects
Research projects
Reinforcement Learning for Micro-Grid Control and Optimization
Disciplines
- Computer Science
- Computer Engineering and Software Engineering
Areas of expertise
- Neural Networks
- Deep learning
- Natural-language processing (NLP)
- Artificial intelligence