Sarvesh Gharat

Profile

Hello, I’m Sarvesh Gharat, and I’m currently pursuing my Ph.D. at Centre for Machine Intelligence and Data Science, Indian Institute of Technology Bombay (IIT Bombay). I completed my Bachelor’s degree in Technology (B.Tech) in Electronics and Telecommunication Engineering at VIIT Pune, where I cultivated a strong foundation in engineering and science.

My academic journey now revolves around Online Learning and Generative AI. In the realm of Online Learning, I specialize in multiarmed bandits particularly in the PAC settings, exploring decision-making strategies. I also venture into Generative AI, wherein I use online learning techniques to identify optimal LLMs to finetune for a particular task while using the appropriate prompt.

Besides my academic pursuits, I have a passion for probability and enjoy delving into its intricacies. When I’m not immersed in research, you’ll often find me on the football or cricket field, enjoying the thrill of these sports.

I’m grateful to have some awesome mentors in past along with the opportunities that have come my way, having received Ph.D. offers from all the universities I applied to. I’m excited to continue my academic journey and explore new horizons in research.

Thank you for visiting my corner of the web. Feel free to explore my academic interests and reach out if you share a passion for any of these areas.

Let’s connect and learn together.

Publications

Representative Arm Identification: A fixed confidence approach to identify cluster representatives

Representative Arm Identification: A fixed confidence approach to identify cluster representatives

Sarvesh Gharat, Aniket Yadav, Nikhil Karamchandani, Jayakrishnan Nair

ICASSP 2025

Gamma-ray Blazar Classification using Machine Learning with Advanced Weight Initialization and Self-Supervised Learning Techniques

Gamma-ray Blazar Classification using Machine Learning with Advanced Weight Initialization and Self-Supervised Learning Techniques

Gopal Bhatta, Sarvesh Gharat, Abhimanyu Borthakur, Aman Kumar

Monthly Notices of the Royal Astronomical Society

Revolutionizing physics: A Comprehensive Survey of Machine Learning applications

Revolutionizing physics: A Comprehensive Survey of Machine Learning applications

Rahul Suresh, Hardik Bishnoi, Artem V Kuklin, Atharva Parikh, Maxim Molokeev, R Harinarayanan, Sarvesh Gharat, P Hiba

Frontiers in Physics

VaTEST III: Validation of eight potential super-earths from TESS data

VaTEST III: Validation of eight potential super-earths from TESS data

Priyashkumar Mistry, Aniket Prasad, Mousam Maity, Kamlesh Pathak, Sarvesh Gharat, Georgios Lekkas, Surendra Bhattarai, Dhruv Kumar, Jack J Lissauer, Joseph D Twicken, Abderahmane Soubkiou, Francisco J Pozuelos, Jon Jenkins, Keith Horne, Steven Giacalone, Khalid Barkaoui, Mathilde Timmermans, Cristilyn N Watkins, Ramotholo Sefako, Karen A Collins, David R Ciardi, Catherine A Clark, Boris S Safonov, Avi Shporer, Joshua E Schlieder, Zouhair Benkhaldoun, Chris Stockdale, Carl Ziegler, Emily A Gilbert, Jehin Emmanuël, Felipe Murgas, Ian JM Crossfield, Martin Paegert, Michael B Lund, Norio Narita, Richard P Schwarz, Robert F Goeke, Sergio B Fajardo-Acosta, Steve B Howell, Thiam-Guan Tan, Thomas Barclay, Yugo Kawai

Publications of the Astronomical Society of Australia

Estimation of redshift and associated uncertainty of Fermi/LAT extragalactic sources with Deep Learning

Estimation of redshift and associated uncertainty of Fermi/LAT extragalactic sources with Deep Learning

Sarvesh Gharat, Abhimanyu Borthakur, Gopal Bhatta

Monthly Notices of the Royal Astronomical Society

Gamma Ray AGNs: Estimating Redshifts and Blazar Classification using Neural Networks with smart initialization and self-supervised learning

Gamma Ray AGNs: Estimating Redshifts and Blazar Classification using Neural Networks with smart initialization and self-supervised learning

Sarvesh Gharat, Abhimanyu Borthakur, Gopal Bhatta

NeurIPS ML4PS workshop 2023

An image processing approach to identify solar plages observed at 393.37 nm by the Kodaikanal solar observatory

An image processing approach to identify solar plages observed at 393.37 nm by the Kodaikanal solar observatory

Sarvesh Gharat, Bhaskar Bose, Abhimanyu Borthakur, Rakesh Mazumder

RAS Techniues and Instruments

VaTEST. II. Statistical Validation of 11 TESS-detected Exoplanets Orbiting K-type Stars

VaTEST. II. Statistical Validation of 11 TESS-detected Exoplanets Orbiting K-type Stars

Priyashkumar Mistry, Kamlesh Pathak, Aniket Prasad, Georgios Lekkas, Surendra Bhattarai, Sarvesh Gharat, Mousam Maity, Dhruv Kumar, Karen A Collins, Richard P Schwarz, Christopher R Mann, Elise Furlan, Steve B Howell, David Ciardi, Allyson Bieryla, Elisabeth C Matthews, Erica Gonzales, Carl Ziegler, Ian Crossfield, Steven Giacalone, Thiam-Guan Tan, Phil Evans, Krzysztof G Hełminiak, Kevin I Collins, Norio Narita, Akihiko Fukui, Francisco J Pozuelos, Courtney Dressing, Abderahmane Soubkiou, Zouhair Benkhaldoun, Joshua E Schlieder, Olga Suarez, Khalid Barkaoui, Enric Palle, Felipe Murgas, Gregor Srdoc, Maria V Goliguzova, Ivan A Strakhov, Crystal Gnilka, Kathryn Lester, Colin Littlefield, Nic Scott, Rachel Matson, Michaël Gillon, Emmanuel Jehin, Mathilde Timmermans, Mourad Ghachoui, Lyu Abe, Philippe Bendjoya, Tristan Guillot, Amaury HMJ Triaud

The Astronomical Journal

Exploring short-term optical variability of blazars using TESS

Exploring short-term optical variability of blazars using TESS

Vivek Reddy Pininti, Gopal Bhatta, Sagarika Paul, Aman Kumar, Aayushi Rajgor, Rahul Barnwal, Sarvesh Gharat

Monthly Notices of the Royal Astronomical Society

Galaxy classification: a deep learning approach for classifying Sloan Digital Sky Survey images

Galaxy classification: a deep learning approach for classifying Sloan Digital Sky Survey images

Sarvesh Gharat, Yogesh Dandawate

Monthly Notices of the Royal Astronomical Society

Compact C-Slot Microstrip-Fed Planar Antenna for Wireless Devices

Compact C-Slot Microstrip-Fed Planar Antenna for Wireless Devices

Jayshri Sharad Kulkarni, Korhan Cengiz, Sarvesh Gharat

ESCI 2021