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people:sayantan [2018/12/21 17:30]
Sayantan Auddy [PhD Student]
people:sayantan [2023/11/21 13:57] (current)
Sayantan Auddy [PhD Student]
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-{{  ​addy_img.jpg?​200|Sayantan ​Addy}}+{{  ​sa.jpg?​200|Sayantan ​Auddy}}
 ===== Sayantan Auddy ===== ===== Sayantan Auddy =====
  
 ==== PhD Student ==== ==== PhD Student ====
  
-Office: ​3N05\\+Office: ​2M01\\
 Phone: -\\ Phone: -\\
-Email: ​[[sayantan.auddy@uibk.ac.at]]\\+Email: sayantan[dot]auddy[at]uibk[dot]ac[dot]at\\ 
 +Github: https://​github.com/​sayantanauddy
 \\ \\
  
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 ---- ----
  
-  * Lifelong ​learning for robotics+  * Continual ​learning for robotics 
 +  * Generative models for pseudo-rehearsal in continual learning 
 +  * 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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 ---- ----
-  * January 2018: Master of Science in Intelligent Adaptive Systems from the University of Hamburg, Germany. [[http://​edoc.sub.uni-hamburg.de/​informatik/​volltexte/​2018/​237/​|[MSc Thesis]]]+  * January 2018: Master of Science in Intelligent Adaptive Systems from the University of Hamburg, Germany. Passed with distinction. [[http://​edoc.sub.uni-hamburg.de/​informatik/​volltexte/​2018/​237/​|[MSc Thesis]]]
   * August 2009: Bachelor of Technology in Computer Science and Engineering from West Bengal University of Technology, India   * August 2009: Bachelor of Technology in Computer Science and Engineering from West Bengal University of Technology, India
  
 === 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.
 +  * 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: Presented a poster on '​Progress,​ Compress and Expand: A framework on continual learning of robotics tasks' at the 4th International Workshop on Intrinsically Motivated Open-ended Learning (IMOL 2019) in Frankfurt, Germany.
   * September 2016: Presented the paper 'A Robotic Home Assistant with Memory Aid Functionality'​ by Weiser et al. at the 39th German Conference on Artificial Intelligence (KI2016) in Klagenfurt, Austria.   * September 2016: Presented the paper 'A Robotic Home Assistant with Memory Aid Functionality'​ by Weiser et al. at the 39th German Conference on Artificial Intelligence (KI2016) in Klagenfurt, Austria.
  
 === Publications === === Publications ===
 ---- ----
-  * September 2018: Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. ​S.Auddy, ​S.Magg, S. Wermter (under review)+  * Aug 2019: Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. ​Sayantan ​Auddy, ​Sven Magg and Stefan ​Wermter. Proceedings of the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics ​(ICDL-EpiRob). Selected for oral presentation. [[https://​arxiv.org/​abs/​1909.00732|[Paper]]] [[https://​youtu.be/​4c64rKhj72E|[Video]]]
   * September 2016: A Robotic Home Assistant with Memory Aid Functionality. I. Wieser, S. Toprak, A. Grenzing, T. Hinz, S. Auddy [and 14 others]. Proceedings of the 39th German Conference on Artificial Intelligence (KI2016), Volume 9904, pages 102-115.[[https://​link.springer.com/​chapter/​10.1007/​978-3-319-46073-4_8|[Paper]]]   * September 2016: A Robotic Home Assistant with Memory Aid Functionality. I. Wieser, S. Toprak, A. Grenzing, T. Hinz, S. Auddy [and 14 others]. Proceedings of the 39th German Conference on Artificial Intelligence (KI2016), Volume 9904, pages 102-115.[[https://​link.springer.com/​chapter/​10.1007/​978-3-319-46073-4_8|[Paper]]]
  
-=== Teaching ​Assistance ​===+=== Teaching ===
 ---- ----
-  * Winter semester 2018: Reinforcement learning lectures for the courses ​'Introduction to Machine Learning' ​and 'Advanced Machine Learning' ​+  ​* Summer semester 2022: Pro-seminar for the course **Introduction to Machine Learning** 
 +  * Summer semester 2021: Pro-seminar for the course **Introduction to Machine Learning** 
 +  * Winter semester 2020: Reinforcement learning lectures, and pro-seminar for the course **Advanced Machine Learning** 
 +  * Summer semester 2020: Pro-seminar for the course **Introduction to 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**
 +  * Sebastian Bergner: B.Sc. thesis - Exploring features of Hypernetworks for Continual Learning from Robot Demonstrations
 +  * Fabian Kranewitter:​ B.Sc. thesis - Continual Reinforcement Learning with Hypernetworks (co-supervision with Jakob Hollenstein)
 +
 +**Completed**
 +  * Dennis Barnes: B.Sc. thesis - Continual Learning from Robot Demonstrations (co-supervision with Antonio Rodriguez Sanchez)
 +  * Philemon Schoepf: B.Sc. thesis - Continual Reinforcement Learning (co-supervision with Antonio Rodriguez Sanchez)  ​
 +  * Oliver Lintner: B.Sc. thesis - Performance Evaluation of State-of-the-art Reinforcement Learning Algorithms (co-supervision with Erwan Renaudo)  ​
 +  * 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.1545409828.txt.gz · Last modified: 2018/12/21 17:30 by Sayantan Auddy