Representation Learning Lab (RepLab)

ECE Department · Indian Institute of Science, Bengaluru

Representation Learning Lab (RepLab)

The RepLab works on principled machine learning — building systems that learn reliably, can be corrected on demand, and respect the true structure of the problem. The lab's five research threads span trustworthy learning, machine unlearning, symmetry discovery, neural operators for PDEs, and generative AI for medicine.

The lab maintains strong ties with clinical partners (AIIMS Delhi, NIMHANS), industry (Google DeepMind, Microsoft Research, IBM Research, Adobe Research), and IISc's Health AI Centre of Excellence and Centre for Brain Research.

We are looking for highly motivated PhD students and Research Assistants. If you are interested in working on theoretical machine learning with strong empirical validation, write to prathosh@iisc.ac.in.

Lab Compute

🖥 10× Workstations
Intel i9-10920X · 2× NVIDIA A6000 (48 GB) each
960 GB total GPU memory
1× GPU Server
NVIDIA Blackwell-architecture GPU
CDAC NSM A100 Access
National AI Compute Facility
🏆 AMD Compute Grant (2026)
USD 10,000 / ₹9.5 Lakhs for AMD GPU research

Current PhD Students

Piyush Lalitkumar Tiwary

PMRF · Joined Aug 2021 · Thesis Submitted
Machine Unlearning · Generative Models · Bayesian Methods
ICML 2024 · UAI 2024 · TMLR 2025 · TMLR 2026
Internships: Adobe Research · Google DeepMind

Subhodip Panda

MoE · Joined Jan 2022 · Thesis Submitted
Machine Unlearning · Diffusion Models · Graph Learning
AAAI 2025 · ICLR 2026 · TMLR 2026 ×2
Internship: Microsoft Research

Pavan Subhaschandra Karjol

PMRF · Joined Jan 2022 · Ongoing
Symmetry Discovery · Equivariant Learning
AISTATS 2023 · AISTATS 2024 · AISTATS 2026 · ICML 2026

Kumar Shubham

MoE · Joined Aug 2022 · Ongoing
Weak Supervision · LLM Fine-Tuning · Data Attribution
ICML 2024 · ICLR 2026 · TMLR 2026

Karn Tiwari

PMRF · Joined Aug 2022 · Ongoing
Neural Operators · Scientific Machine Learning
ICML 2025 · APL ML 2025 · npj Clean Air 2025
Internship: Google DeepMind

PhD Students Co-Supervised at IIT Delhi

Registered at IITD prior to the move to IISc and continued under joint supervision during the review period.

Name Co-advisor Fellowship Status Placement
Arnab Mondal Prof. Parag Singla, IITD PMRF Graduated July 2024 Research Scientist, IBM Research India
Ayush Tripathi Prof. Lalan Kumar, IITD PMRF Graduated July 2024 Postdoc, Harvard Medical School → Asst. Prof., IIT Indore
Oshin Datta Prof. Sumeet Agarwal, IITD MoE Defended 2025 Data Scientist, KPMG
Amit Kumar Bhongade Prof. Tapan Gandhi, IITD PMRF Defended 2025 Postdoctoral Researcher, Harvard Medical School, USA
Ayush Tyagi Prof. Mausam, IITD PMRF Ongoing
Aditya Shahane Prof. Sandeep Kumar, IITD MoE Ongoing

Research Assistant Alumni → Global PhD Programs

Many RAs mentored from Tier 2/3 undergraduate institutions have gone on to PhD programs at leading global universities and are co-authors on lab publications.

Rohan Kashyap

Carnegie Mellon University (CMU), USA

Pranav Sastry

Georgia Institute of Technology, USA

Rushil Goyal

Mila – Quebec AI Institute, Canada

Hemang Jamadagni

UC San Diego, USA

Nishant Sharma

Max Planck Institute for Informatics, Germany

Hardik Kamboj

University of Maryland, College Park, USA

Sourav Shaswat

Washington University in St. Louis, USA

Shreyan Ganguly

Iowa State University, USA

Ujan Deb

UNSW Sydney, Australia

Goirik Chakraborty

University of Göttingen, Germany

Adarsh Kappiyath

University of Surrey, UK

MTech Project Students (IISc, 2021–2026)

NameYearProgramPlacement
Samrat Yadav2021–23M.Tech (AI)PhD, IIT Delhi
Sai Manikanta Gopalm2021–23M.Tech (AI)Qualcomm
Athmuri Sanjay Sai2021–23M.Tech (AI)TSMC
Aditya C2022–24M.Tech (AI)Qualcomm
Purma Vishnu2022–24M.Tech (AI)Mercedes-Benz
Vishal Kumar Desai2022–24M.Tech (AI)Netradyne
Kondam Kalyan Reddy2022–24M.Tech (AI)Meesho
Niladri Dutta2023–25M.Tech (AI)
Abhishek Sharma2023–25M.Tech (AI)
Nithin Puthalath Manoj2025–M.Tech (AI) — MoEOngoing
Eluru Sai Venkat2025–M.Tech (AI) — MoEOngoing
Sayan Kisku2025–M.Tech (AI) — MoEOngoing