Shivchander Sudalairaj

16 papers A* 3A 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods.
CoRR
Isha Puri, Shivchander Sudalairaj, Guangxuan Xu, Kai Xu, Akash Srivastava
2025 J jnl
Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling.
CoRR
Giorgio Giannone, Guangxuan Xu, Nikhil Shivakumar Nayak, Rohan Mahesh Awhad, Shivchander Sudalairaj, Kai Xu, Akash Srivastava
2025 A* conf
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
ICLR
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava
2024 J jnl
CDR: Customizable Density Ratios of Strong-over-weak LLMs for Preference Annotation.
CoRR
Guangxuan Xu, Kai Xu, Shivchander Sudalairaj, Hao Wang, Akash Srivastava
2024 A conf
Grafting Vision Transformers.
WACV
Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo
2024 J jnl
LAB: Large-Scale Alignment for ChatBots.
CoRR
Shivchander Sudalairaj, Abhishek Bhandwaldar, Aldo Pareja, Kai Xu, David D. Cox, Akash Srivastava
2024 J jnl
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
CoRR
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava
2023 J jnl
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies.
CoRR
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
2023 J jnl
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging.
Trans. Mach. Learn. Res.
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2023 A* conf
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries.
ICML
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
2023 J jnl
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries.
CoRR
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
2023 A* conf
Post-processing Private Synthetic Data for Improving Utility on Selected Measures.
NeurIPS
Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan H. Greenewald, Akash Srivastava
2023 J jnl
Post-processing Private Synthetic Data for Improving Utility on Selected Measures.
CoRR
Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan H. Greenewald, Akash Srivastava
2022 J jnl
Grafting Vision Transformers.
CoRR
Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo
2022 J jnl
On the Importance of Calibration in Semi-supervised Learning.
CoRR
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2021 J jnl
CoeViz 2: Protein Graphs Derived From Amino Acid Covariance.
Frontiers Bioinform.
Daniel Corcoran, Nicholas Maltbie, Shivchander Sudalairaj, Frazier N. Baker, Joseph Hirschfeld, Aleksey A. Porollo