Silpa Vadakkeeveetil Sreelatha

ELLIS PhD Student · University of Surrey & University of Copenhagen

s.vadakkeeveetilsreelatha [AT] surrey.ac.uk

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Silpa Vadakkeeveetil Sreelatha

About

I am an ELLIS Ph.D. student working on generative models and computer vision, co-advised by Dr. Anjan Dutta (University of Surrey), Prof. Serge Belongie (University of Copenhagen), and Dr. Muhammad Awais (University of Surrey). I am affiliated with the Surrey Institute for People-Centred AI, Centre for Vision, Speech and Signal Processing (CVSSP), and the Pioneer Centre for Artificial Intelligence in Copenhagen. Before my Ph.D., I worked as a researcher (2019–2022) at Tata Research and Innovation Labs under Dr. Shirish Subhash Karande.

My research lies at the intersection of computer vision and generative AI. I am broadly interested in understanding and improving generative models, including how they learn representations, generate diverse and coherent visual content, and interact with the structure and dynamics of the visual world.

Generative Models Video Generation Representation Learning World Models Computer Vision

Always happy to chat about research or explore collaborations. Feel free to reach out!

Publications & Patents

‡ Equal contribution.

1

RAIGen: Rare Attribute Identification in Text-to-Image Generative Models

Silpa Vadakkeeveetil Sreelatha, Dan Wang, Serge Belongie, Muhammad Awais, Anjan Dutta

ICML 2026 paper project page

Earlier version presented as MADGen at UPLB Workshop, EurIPS 2025.

2

RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation

Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais, Serge Belongie, Anjan Dutta

NeurIPS 2025 paper code project page

Earlier version presented as Concept Denoising Score Matching at SafeGenAI Workshop, NeurIPS 2024.

3

DeNetDM: Debiasing by Network Depth Modulation

Silpa Vadakkeeveetil Sreelatha‡, Adarsh Kappiyath‡, Abhra Chaudhuri, Anjan Dutta

NeurIPS 2024 paper code project page
4

Self-Supervised Enhancement of Latent Discovery in GANs

Adarsh Kappiyath‡, Silpa Vadakkeeveetil Sreelatha‡, S Sumitra

AAAI 2022 paper
5

Understanding Advertisements with BERT

Kanika Kalra, Bhargav Kurma, Silpa Vadakkeeveetil Sreelatha, Manasi Patwardhan, Shirish Karande

ACL 2020 paper
6

Disentanglement based Active Learning

Adarsh Kappiyath‡, Silpa Vadakkeeveetil Sreelatha‡, S Sumitra

IJCNN 2021 paper code
7

Method and system for visio-linguistic understanding using contextual language model reasoners

Sai Sree Bhargav Kurma, Kanika Kalra, Silpa Vadakkeeveetil Sreelatha, Manasi Patwardhan, Shirish Subhash Karande

US Patent patent

Awards & Honours

Updates

Jul 2026Heading to Seoul for ICML 2026 to present RAIGen, then straight to Lisbon for the ELLIS PhD Symposium. A busy summer ahead!
Feb 2026Wrapped up a wonderful six months in Copenhagen and headed back to Surrey.
Jan 2026Gave an invited talk on Responsible Text-to-Image Diffusion Models at DTU Compute — my first invited talk!
Dec 2025Got to present our work at EurIPS in Copenhagen.
Aug 2025Had a fantastic time at the ELLIS PhD Symposium in Warsaw — great talks, great people and good food. Thanks to the ELSA Mobility Grant for funding this trip!
Aug 2025Kicked off my ELLIS research visit at Pioneer Centre for AI, University of Copenhagen. So excited for this!
Jun 2023Officially started my PhD at the University of Surrey. A new chapter begins!
Dec 2020Attended NeurIPS 2020 — my very first in-person conference. Still one of my favourite memories.
Jun 2019Joined TCS Research as a Deep Learning researcher.

Academic Service

Conference reviewing — ICLR (2024–2026), NeurIPS (2023–2026), CVPR (2024–2025), ICML (2024), ICCV (2025)

Workshop reviewing — WiCV CVPR 2023, SafeGenAI NeurIPS 2024

Teaching — Teaching Assistant, Applied Machine Learning, University of Surrey (2023, 2024); Mentor, M.Tech course projects on diffusion models, University of Surrey (~50 students)

Supervision — Co-supervisor, MSc Dissertation on controllable image editing using diffusion models, University of Surrey (2024–2025); Co-supervisor, MSc Dissertation on building robust classifiers using generative models, IIST (2022–2023)

Invited Talks

Vita

Full resume available as a PDF.