Anirudh Sundara Rajan

Anirudh Sundara Rajan

Graduate Student at University of Wisconsin-Madison

I am currently pursuing my studies in Computer Science at the University of Wisconsin-Madison.

As someone deeply interested in the field of deep learning, I wish to solve problems in the field in a principled manner. Currently, my work revolves around the reliable detection of synthetic images, with a focus on Latent Diffusion Models. In the past, I have worked on image editing using diffusion models, Knowledge Distillation and Knowledge-Infused Representation Learning.

I am currently conducting my research under the supervision of Prof. Yong Jae Lee. I’m fortunate to have the mentorship of Utkarsh Ojha, Haotian Liu and Yuheng Li. My focus lies in comprehensively exploring the intricacies of the field. The primary focus is on deciphering principles that hold the potential to contribute meaningfully to the community’s understanding, offering valuable insights that can enhance our collective knowledge within the academic landscape.

Preprints

On the Effectiveness of Dataset Alignment for Fake Image Detection

Project Page | arXiv | Code

  • Authors: Anirudh Sundara Rajan *, Utkarsh Ojha *, Jedidiah Schloesser, Yong Jae Lee

Publications

What Knowledge Gets Distilled in Knowledge Distillation?

  • Venue: NeurIPS 2023
  • Authors: Utkarsh Ojha *, Yuheng Li *, Anirudh Sundara Rajan *, Yingyu Liang, Yong Jae Lee

Ki-Cook: Clustering Multimodal Cooking Representations through Knowledge-Infused Learning

  • Venue: Frontiers in Big Data (Volume 6), 2023
  • Authors: Revathy Venkataramanan, Swati Padhee, Saini Rohan Rao, Ronak Kaoshik, Anirudh Sundara Rajan, Amit Sheth

* Indicates equal contribution.

Teaching Experience

COMP SCI 839: Learning Based Image Synthesis

Position: Teaching Assistant
Semester: Fall 2023
Graduate-level course on the principles behind the generative modeling of images. Covers fundamentals and applications of generative models like GANs, VAEs, and Diffusion Models.

COMP SCI 220: Data Science Programming I

Position: Teaching Assistant
Semester: Spring 2023
Undergraduate-level course covering the fundamentals of Python for data science.

COMP SCI 200: Programming I

Position: Teaching Assistant
Semester: Fall 2022
Undergraduate-level course introducing the basics of programming with Java.