Workshop
on
Tensor Computation and Machine Learning
(TCML)
November 17 and 18, 2023
Embedded Files
About the Workshop
About the Workshop
Tensor is a type of data structure used in machine learning to represent various objects, including scalars, vectors, arrays, and matrices. Tensors have made a name for itself in the IT industry after Google’s flagship Machine Learning library- TensorFlow. Recently, tensors become popular in machine learning and data science, where they are employed to approach a diverse number of difficult learning and analysis tasks. (i.e., learning on multi-relational data and large-scale knowledge bases, recommendation systems, computer vision, neuroimaging, or analyzing time-varying networks). The success of tensor computations and decompositions is strongly related to their ability to efficiently model, analyse and predict data with multiple modalities.
This workshop aims to bring together experts from different communities working on tensor methods and their applications, which will serve as a basis for an interdisciplinary exchange of methods, ideas, and techniques, to develop a deeper understanding of tensor methods in machine learning, further advance existing approaches and enable new approaches to important problems.
This workshop will feature introductory talks from leading experts in these fields. Further, the workshop will consist of a few contributed talks and poster sessions covering important work and recent developments in tensor methods in machine learning and data sciences. Furthermore, the workshop will include open discussion sessions to encourage the exchange of ideas and the development of a shared understanding of problems and methods among the workshop participants.
Some Highlights
Some Highlights
Artificial Neural Network
Neural Controlled Differential Equations
Tensor Decompositions and applications
Applied Linear and Multilinear Algebra
Parallel and Distributed Deep Learning
Scientific Machine Learning
AI for Medical Image Analysis
Speakers
Speakers
Former Professor, IIT Bombay
Associate Professor and Chair, IISc Bangalore
Professor, University of Niš, Serbia
Associate Professor, IISc Bangalore
Associate Professor and Ramanujan Fellow, IIT Indore
Prof. Phaneendra Kumar Yalavarthy
Professor, IISc Bangalore
Professor, IIT Delhi
Assistant Professor, IISc Bangalore
Associate Professor, BITS Pilani (Goa)
Professor, IIT Indore
Assistant Professor, IIT Tirupati
Schedule
Schedule
Day 1
Day 1
8:45 AM – 9:30 AM Breakfast
9:30 AM – 09:45 AM Opening Ceremony
09:45 AM – 10:30 AM Talk-1: Prof. Sashikumaar Ganesan
10:30 AM – 11:15 AM Talk-2: Prof. Apoorva Khare Title: Gram matrices: connecting GPS triangulation, Euclidean metric embeddings, and Heron’s formula.
11:15 AM – 11:30 AM Coffee Break
11:30 AM – 12:15 PM Talk-3: Prof. Amiya Kumar Pani
12:15 PM – 01:00 PM Talk-4: Prof. Panchatcharam Mariappan Title: Smart Sorting: Machine Learning for Waste Classification.
01:00 PM – 02:00 PM Launch Break
02:00 PM – 02:45 PM Talk-5: Prof. Anirban Chakraborty Title: Privacy-Preserving, Efficient Utilization of Data in Designing Computer Vision Solutions.
02:45 PM – 03:30 PM Talk-6: Prof. Manish Kumar Title: Machine Learning with Tensor Computation.
03:45 PM – 06:45 PM Paper Presentations (Participants)
07:30 PM - 09:00 PM Dinner (Main Guest House)
Day 2
Day 2
8:45 AM – 9:30 AM High Tea
09:30 AM – 10:15 AM Talk-7: Prof. Phaneendra K. Yalavarthy
10:15 AM – 11:00 AM Talk-8: Prof. Predrag S. Stanimirovic Title: Recurrent Neural Networks for Solving Matrix Equations.
11:00 AM – 11:15 AM Coffee Break
11:15 AM – 12:00 PM Talk-9: Prof. Jajati Keshari Sahoo
12:00 PM – 12:45 PM Talk-10: Prof. Sk. Safique Ahmad Title: Generalized Eigenvalue Problem and its Applications.
12:45 PM – 02:00 PM Launch Break
02:00 PM – 02:45 PM Talk-11: Prof. Mani Mehra Title: Machine Learning of Fractional Differential Equations.
02:45 PM – 03:30 PM Talk-12: Prof. M. Tanveer Title: Large scale SVM algorithms and applications.
03:30 PM – 03:45 PM Coffee Break
03:45 PM – 04:30 PM Talk-13: Prof. Ratikanta Behera Title: Tensor Computations with Applications.
04:30 PM – 05:30 PM Conclusion/Remark/Certificate Distribution
Venue
Venue
Department of Computational and Data Sciences, Indian Institute of Science, Bangalore
Department of Computational and Data Sciences, Indian Institute of Science, Bangalore
Bengaluru, Karnataka, India, 560012
Bengaluru, Karnataka, India, 560012
Department of Computational and Data Sciences (CDS) is an interdisciplinary engineering department spanning the broad research areas of computational science & engineering and scalable computer & data systems.
How to Reach
How to Reach
From the Kempegowda International Airport Bengaluru: IISc is about 35 kilometers (22 miles) from the airport (both domestic and international). A prepaid taxi service is available from the airport. The fare to IISc would be approximately INR 600. Shuttle bus services are available from the airport.
From KSR Railway Station: The city railway station is about 7 km from the IISc campus. One will have to leave the station from platform number ONE, and reach the prepaid taxi stand, and hire a city taxi (costs about Rs 150). Majestic (7kms from IISc) is the central Bus stand in Bengaluru and is just opposite the City Railway station.
Google Map
Google Map
Registration
Registration
Registration Fees
Registration Fees
Scholar (Ph.D./Post-Doc): 2400 INR
B.Sc./M.Sc./B.Tech./M.Tech. students: 2000 INR
Faculty: 3600 INR
Industry: 5000 INR
* The registration fee includes a workshop kit, working tea, coffee, snacks, and lunch.
* Limited Guest House accommodation is available (@₹1000 per day) in the campus and will be provided on the first come, first serve basis.
Registration Process
Registration Process
To pay the registration amount use the following payment link.
Payment Link: https://digits.iisc.ac.in/payment_tcml/
After payment, take a screenshot of the receipt and fill out the following registration form.
Contact Us
Contact Us
For any queries or information regarding the workshop, please reach out to:
For any queries or information regarding the workshop, please reach out to:
International Workshop on Tensor Computation and Machine Learning (TCML)
Department of Computational and Data Sciences, IISc Bangalore
Email: ratikanta.cds@gmail.com with cc to ratikanta@iisc.ac.in
Dr. Ratikanta Behera
Assistant Professor
Department of Computational and Data Sciences
Indian Institute of Science, Bangalore, India
E-mail: ratikanta@iisc.ac.in
Phone: +91 9310192034
Organizing Committee
Organizing Committee
Important Dates
Important Dates
- Registration Starts: September 15, 2023
- Abstract Submission: September 15 - October 31, 2023
- Notification of Abstract Acceptance: November 06, 2023
- Registration Closes: November 13, 2023
- Workshop Date: November 17 and 18, 2023
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