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people:sayantan [2019/10/09 14:19]
Sayantan Auddy [PhD Student]
people:sayantan [2021/03/22 00:13]
Sayantan Auddy [PhD Student]
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 ---- ----
  
-  * Lifelong ​learning for robotics +  * Continual ​learning for robotics 
-  * Learning from demonstration +  * Generative models for pseudo-rehearsal in continual learning 
-  * Hierarchical composition of tasks+  * Bayesian neural networks, variational inference, and normalizing flows for continual learning
   * Deep reinforcement learning   * Deep reinforcement learning
   * Computer vision   * Computer vision
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 === Talks and Workshops === === Talks and Workshops ===
 ---- ----
 +  * Sep 2020: Presented the paper 'Can Expressive Posterior Approximations Improve Variational Continual Learning?'​ in the RO-MAN 2020 Workshop on Lifelong Learning for Long-term Human-Robot Interaction.
   * Aug 2019: Presented the paper '​Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks'​ at the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) in Oslo, Norway.   * Aug 2019: Presented the paper '​Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks'​ at the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) in Oslo, Norway.
   * July 2019: Contributed a talk '​Progress,​ Compress and Expand - A framework for lifelong learning of robotics tasks' at the School of Learning, Perception and Robotics (SPROuT), Department of Information Engineering and Computer Science, University of Trento, Italy.   * July 2019: Contributed a talk '​Progress,​ Compress and Expand - A framework for lifelong learning of robotics tasks' at the School of Learning, Perception and Robotics (SPROuT), Department of Information Engineering and Computer Science, University of Trento, Italy.
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 === Teaching === === Teaching ===
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-  * Winter semester 2019: Pro-seminar for the course Advanced Machine Learning +  ​* Summer semester 2021: Pro-seminar for the course **Machine Learning** 
-  * Winter semester 2019: Reinforcement learning lectures for the course Advanced Machine Learning +  * Winter semester 2020: Reinforcement learning lectures, and pro-seminar for the course **Advanced Machine Learning** 
-  * Summer semester 2019: Pro-seminar for the course ​'Data Structures and Algorithms' +  * Summer semester 2020: Pro-seminar for the course **Machine Learning** 
-  * Winter semester 2018: Reinforcement learning lectures for the courses ​'Introduction to Machine Learning' ​and 'Advanced Machine Learning'+  ​* Winter semester 2019: Pro-seminar for the course ​**Advanced Machine Learning** 
 +  * Winter semester 2019: Reinforcement learning lectures for the course ​**Advanced Machine Learning** 
 +  * Summer semester 2019: Pro-seminar for the course ​**Data Structures and Algorithms** 
 +  * Winter semester 2018: Reinforcement learning lectures for the courses ​**Introduction to Machine Learning** and **Advanced Machine Learning**
  
 +=== Student Supervision ===
 +----
 +**Ongoing**
 +  * Oliver Lintner: B.Sc. thesis - Performance Evaluation of State-of-the-art Reinforcement Learning Algorithms (co-supervision with Erwan Renaudo)
 +
 +**Completed**
 +  * Maicol Polvere: M.Sc. thesis - Continual Learning for Robot Grasping (co-supervision with Antonio Rodriguez Sanchez)
 +  * Salvatore Giancani: M.Sc. thesis - A Mirror Neuron-based model for Learning from Demonstration (co-supervision with Jakob Hollenstein and Antonio Rodriguez Sanchez)
 +  * August Weiß: B.Sc. thesis - Temporal Action Segmentation In Videos Using Neural Processes (co-supervision with Antonio Rodriguez Sanchez)
people/sayantan.txt · Last modified: 2023/11/21 13:57 by Sayantan Auddy