Winter 2025
Teaching Assistant — Pattern Recognition and Machine Learning
IIT Jodhpur · Instructor: Dr. Anand Mishra
Shreyansh Pathak
Ph.D. Student in Artificial Intelligence at IIT Jodhpur
I am a Ph.D. student in Artificial Intelligence at the Indian Institute of Technology Jodhpur, advised by Prof. Richa Singh and Prof. Mayank Vatsa. I am a member of the Image Analysis and Biometrics Lab.
My research focuses on machine unlearning: enabling trained models to forget selected people, classes, concepts, or attributes without retraining from scratch or degrading unrelated capabilities. I work across generative models, computer vision, speech, and biometric systems, with broader interests in privacy-preserving and trustworthy machine learning.
I am especially interested in the geometry of learned representations, efficient and verifiable unlearning, robustness against relearning, and the privacy–utility trade-offs of deployed AI systems.
Research
My work asks how information can be selectively removed from a learned model while preserving useful knowledge. I study this problem across text-to-image generation, vision classification, speech, and biometric systems.
Research interests
- Machine unlearning
- Generative artificial intelligence
- Privacy-preserving machine learning
- Representation geometry
- Computer vision and audio biometrics
- Responsible and trustworthy AI
Education
- Ph.D. in Artificial Intelligence IIT Jodhpur · ongoing
- B.S. in Programming and Data Science IIT Madras · 2025
- B.Tech. in Computer Science and Engineering KNIT Sultanpur · 2024
Publications
-
Genμ: The Generative Machine Unlearning Challenge
Kartik Thakral, Shreyansh Pathak, Tamar Glaser, Tal Hassner, Diego Garcia-Olano, Iacopo Masi, Richa Singh, Mayank Vatsa
IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2025
-
QPAudioEraser: Quantum-Inspired Audio Unlearning for Privacy-Preserving Biometrics
Shreyansh Pathak, Sonu Shreshtha, Richa Singh, Mayank Vatsa
IEEE International Joint Conference on Biometrics (IJCB), Osaka, Japan, 2025
Teaching & Experience
Summer 2024
Teaching Assistant — Database Systems
IIT Jodhpur · Instructor: Dr. Suchetana Chakraborty
May 2023
Teaching Assistant — Programming in Python
IIT Madras BS in Data Science programme
Feb 2023
Teaching Assistant — Machine Learning Foundations
IIT Madras BS in Data Science programme
Feb–Apr 2023
Backend Developer — IIT Madras
Built a project-submission web application using Flask and Vue.js, including REST APIs, validation, and workflows for students, teaching assistants, and operations teams.
Earlier
Mentoring, community, and web development
Mentor with the IIT Madras BS programme and Chegg; core committee member of the IIT Madras Mathematics and Statistics Society; project intern at Verzeo.
Selected Projects & Writing
- ScratchFormers — implementations and studies of BERT, GPT-2, LoRA, CLIP, encoders, decoders, and vision transformers.
- Neural Engine — a project for exploring neural-network internals.
- Machine Learning Notes — web-based notes on core machine-learning ideas.
- Algorithm Visualiser — interactive views of Lagrange multipliers, singular-value decomposition, and gradient descent.
- CFSM paper implementation — a concise implementation of the paper.
- An intuitive understanding of KL divergence — a technical note on the intuition behind KL divergence.
Academic Service
- Program Committee member, AAAI 2027.
- Organizer, Genμ Generative Machine Unlearning Challenge at the U&ME Workshop, ICCV 2025.
- Organizer, Genμ 2.0 Challenge at the U&ME Workshop, ECCV 2026.