IIT-H and RIKEN-AIP Joint Workshop on

Machine Learning and Applications

March 15 and 16, 2019 at IIT, Hyderbad (India)
Contact: Vineeth N Balasubramanian (IITH), Srijith PK (IITH), Emtiyaz Khan (RIKEN AIP)
Information Program List of Participants



The goal of this workshop is facilitate collaboration between RIKEN-AIP and IITH. We are hoping to spend two days with many talks by members of IITH and RIKEN-AIP, as well as a few other distinguished invited speakers.


Somewhere in IITH. Exact location TBD.


It will be booked by us in IITH. More information will be available soon.

Visa Information

We will post information about the contact person's name and address, as well as how to obtain a letter of invitation. If you need a visa, please contact us as soon as possible. Most foreign visitors who do not require visa still need to fill the visa on arrival information a month prior to arrival. See more information here.


More details will be available soon. Most talks will be 20 minutes long. Total 20 talks. 5 hours of poster sessions with 3 coffee breaks each day.

March 15, 2016

  • 11:30-13:00 Welcome + 3 Talks
  • 13:00-14:00 Lunch + Posters
  • 14:00-15:30 4 talks
  • 15:30-16:30 Coffee Break + Posters
  • 16:30-17:30 3 talks
  • 19:00-21:00 Dinner (Organized by IITH)

March 16, 2016

  • 09:00-10:30 4 Talks
  • 10:30-11:30 Coffee Break + Posters
  • 11:30-13:00 4 Talks
  • 13:00-14:00 Lunch + Posters
  • 14:00-15:30 4 talks
  • 15:30-16:30 Coffee Break + Posters
  • 16:30-17:30 Organizers summary
  • 19:00-21:00 Collaboration Dinner (Optional, go for dinner with people you would like to collaborate with)

List of Participants

RIKEN-AIP (names in no particular order)

  1. Masashi Sugiyama (Weakly supervised learning)
  2. Tomasz Rutkowski (Brain-computer interface; ML for signal processing)
  3. Bahareh Kalantar (ML for disaster application)
  4. Dinesh Singh (Scalable ML, computer vision)
  5. Qibin Zhao (Tensor decomposition and tensor networks)
  6. Chao Li (Matrix/Tensor factorization and linear inverse problem)
  7. Ming Hou (tensor decomposition for deep multitask learning)
  8. Ryuichiro Hataya (Deep meta learning)
  9. Osamu Sakura (cultural and social studies of AI/robotics)
  10. Tanuj Aasawat (HPC, large scale graph processing)
  11. Anand Subramanian (Bayesian deep learning)
  12. Isao Ishikawa (Dynamical system, RKHS, machine learning)
  13. Tatsuya Harada (Computer Vision)
  14. Jill-Jênn Vie (Matrix factorization, deep generative models, educational data mining)
  15. Masahiro Ikeda (Spectral clustering, Dynamical system, Machine learning)
  16. Emtiyaz Khan (Approximate Bayesian Inference, Bayesian deep learning)


  1. C Krishna Mohan (Video Analytics)
  2. Vineeth N Balasubramanian (Machine Learning, Deep Learning, Causality)
  3. Srijith P. K. (Bayesian learning, Inference techniques, Gaussian processes)
  4. K Sri Rama Murty (Acoustic impulse response, Independent component analysis)
  5. Sumohana S. (No reference image quality assessment, Autoencoders, Distortion maps)
  6. Maunendra Sankar Desarkar (Information Retrieval, data mining)
  7. Manish Singh (Mining Web Data Recommendation System, Opinion Mining, Information Extraction)
  8. Shantanu Desai (Astrophysical data analysis)

Invited Speakers

  1. Dinesh Babu Jayagopi (IIIT Bangalore, India)
  2. Chandra Sekhar Seelamantula (IISc Bangalore, India)
  3. Piyush Rai (IIT Kanpur, India)
  4. C.V. Jawahar (IIIT Hyderabad, India)