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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
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<title>Kancheti Sai Srinivas </title>
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<div class="menu-category">Home</div>
<div class="menu-item"><a href="index.html" class="current">About me</a></div>
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<h1>Kancheti Sai Srinivas </h1>
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<img src="websitepic.jpg" alt="alt text" width="244.8px" height="244.8px" /> </td>
<td align="left"><p>Kancheti Sai Srinivas <br />
Ph.D. Student <br />
<a href="https://cse.iith.ac.in/">Department of Computer Science and Engineering</a> <br />
<a href="https://iith.ac.in/">Indian Institute of Technology Hyderabad</a> <br />
Contact: <a href="mailto:[email protected]">Email</a>, <a href="https://www.linkedin.com/in/kancheti-sai-srinivas/">Linkedin</a>, <a href="https://github.com/ksais">Github</a></p>
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<h2>Short Bio </h2>
<p>I am a fifth-year Ph.D. student at Indian Institute of Technology Hyderabad. I have a dual-degree (Bachelors and Masters) in CSE from Indian Institute of Technology Madras.
I am advised by <a href="https://www.iith.ac.in/~vineethnb/">Prof. Vineeth N Balasubramanian</a>. You can find my CV <a href="https://drive.google.com/file/d/1eoCSLUVzZRfk8PzbYJSrf4FZThNXnl7y/view?usp=sharing">here</a>.</p>
<h2>News</h2>
<ul>
<li><p>[2025] Our work titled “Semantic Alignment for Prompt-Tuning in Vision Language Models” has been accepted to TMLR <a href="https://openreview.net/forum?id=avDr56QjSI">openreview link</a></p>
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<li><p>[2024] Awarded the Microsoft India Research PhD Award 2024</p>
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<li><p>[2024] Our work titled “Fine-Grained Visual Recognition in the Age of Multimodal LLMs” was accepted at the NeurIPS 2024 Workshop: Adaptive Foundation Models</p>
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<li><p>[2024] Presented our work “Interpretable Model Drift Detection” at CODS-COMAD 2024</p>
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<li><p>[2023] Attended Google Research Week 2023</p>
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<li><p>[2023] Attended ACML 2023 in Bangalore</p>
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<li><p>[2021] Selected as a <a href="https://www.pmrf.in/">Prime Minister Research Fellow</a> in the December 2020 cycle.</p>
</li>
</ul>
<h2>Research Interests </h2>
<ul>
<li><p>Large Multimodal Models</p>
</li>
<li><p>Algorithmic Recourse</p>
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<li><p>Interpretable and Trustworthy ML</p>
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<li><p>Causality in machine learning</p>
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</ul>
<h2>Publications</h2>
<p><a href="https://scholar.google.com/citations?user=JJP7dOsAAAAJ&hl=en">Here</a> is my Google Scholar <br /></p>
<ul>
<li><p>[2025] Semantic Alignment for Prompt-Tuning in Vision Language Models – K. Sai Srinivas*, Hari Chandana K*, Gowtham Reddy A, V. Balasubramanian, TMLR 2025 <a href="https://openreview.net/forum?id=avDr56QjSI">openreview link</a></p>
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<li><p>[2024] Fine-Grained Visual Recognition in the Age of Multimodal LLMs – Hari Chandana K, K. Sai Srinivas, Gowtham Reddy A, V. Balasubramanian, NeurIPS 2024 Workshop: Adaptive Foundation Models <a href="https://adaptive-foundation-models.org/">link</a></p>
</li>
<li><p>[2024] Interpretable Model Drift Detection – Pranoy Panda, K. Sai Srinivas, V. Balasubramanian, Gaurav Sinha, CODS-COMAD ’24 <a href="https://dl.acm.org/doi/abs/10.1145/3632410.3632434">link</a></p>
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<li><p>[2023] A Simple Test-time Adaptation Method for Source-free Domain Generalization – Vaasudev Narayanan, K. Sai Srinivas, Sriranjani Ramakrishnan, V. Balasubramanian, ICLR 2023 Workshop <a href="https://domaingen.github.io/sessions">link</a></p>
</li>
<li><p>[2022] Matching Learned Causal Effects of Neural Networks with Domain Priors – K. Sai Srinivas*, A. Gowtham Reddy*, V. Balasubramanian, Amit Sharma, ICML’22 <a href="https://proceedings.mlr.press/v162/kancheti22a">link</a></p>
</li>
</ul>
<h2>Ongoing Projects</h2>
<ul>
<li><p>[2025] Finetuning VLMs under Complex Label Noise – Investigating parameter-efficient methods to adapt large VLMs to downstream tasks while handling noisy labels using the manifold hypothesis.</p>
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<li><p>[2024] (under review) Human-in-the-Loop Algorithmic Recourse – Developing personalized recourses through iterative preference elicitation.</p>
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<h2>Education </h2>
<ul>
<li><p>PhD, Department of CSE, Indian Institute of Technology Hyderabad, Telangana, India, Jan. 2021 - Present</p>
</li>
<li><p>Dual-Degree (BTech & MTech), Department of CSE, Indian Institute of Technology Madras, Tamil Nadu, India, July. 2013 - July. 2019</p>
</li>
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<h2>Services</h2>
<ul>
<li><p>Reviewer: AAAI (2025,2024), AISTATS 2025, CVPR 2025, NeurIPS 2024, ECCV 2024.</p>
</li>
<li><p>Teaching Assistant: Foundations of Machine Learning (Fall 2022), Advanced Topics in ML (Spring 2024)</p>
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