Varad Pimpalkhute

According to our database, Varad Pimpalkhute authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning.

Mingkai Deng, Jinyu Hou, Lara Sá Neves, Varad Pimpalkhute, Taylor W. Killian, Zhengzhong Liu, Eric P. Xing

CoRR, May, 2026

IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL.

Zhoujun Cheng, Yutao Xie, Yuxiao Qu, Amrith Setlur, Shibo Hao, Varad Pimpalkhute, Tongtong Liang, Feng Yao, Zhengzhong Liu, Eric P. Xing, Virginia Smith, Ruslan Salakhutdinov, Zhiting Hu, Taylor W. Killian, Aviral Kumar

CoRR, March, 2026

2025

K2-Think: A Parameter-Efficient Reasoning System.

Zhoujun Cheng, Richard Fan, Shibo Hao, Taylor W. Killian, Haonan Li, Suqi Sun, Hector Ren, Alexander Moreno, Daqian Zhang, Tianjun Zhong, Yuxin Xiong, Yuanzhe Hu, Yutao Xie, Xudong Han, Yuqi Wang, Varad Pimpalkhute, Yonghao Zhuang, Aaryamonvikram Singh, Xuezhi Liang, Anze Xie, Jianshu She, Desai Fan, Chengqian Gao, Liqun Ma, Mikhail Yurochkin, John Maggs, Xuezhe Ma, Guowei He, Zhiting Hu, Zhengzhong Liu, Eric P. Xing

CoRR, September, 2025

2024

SoftQE: Learned Representations of Queries Expanded by LLMs.

Varad Pimpalkhute, John Heyer, Xusen Yin, Sameer Gupta

Proceedings of the Advances in Information Retrieval, 2024

2023

GEMS: Generating Efficient Meta-Subnets.

Varad Pimpalkhute, Shruti Kunde, Rekha Singhal

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

MetaFaaS: learning-to-learn on serverless.

Varad Pimpalkhute, Shruti Kunde, Rekha Singhal, Surya Palepu, Dheeraj Chahal, Amey Pandit

Proceedings of the BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments, 2022

2021

Digital Image Noise Estimation Using DWT Coefficients.

Varad Pimpalkhute, Rutvik Page, Ashwin Kothari, Kishor M. Bhurchandi, Vipin Milind Kamble

IEEE Trans. Image Process., 2021

Accelerating Gradient-based Meta Learner.

Varad Pimpalkhute, Amey Pandit, Mayank Mishra, Rekha Singhal

CoRR, 2021

CBIR using Pre-Trained Neural Networks.

Agnel Lazar Alappat, Prajwal Nakhate, Sagar Suman, Ambarish Chandurkar, Varad Pimpalkhute, Tapan Kumar Jain

CoRR, 2021

IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets.

Varad Pimpalkhute, Prajwal Nakhate, Tausif Diwan

Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

2020

Automated phase classification in cyclic alternating patterns in sleep stages using Wigner-Ville Distribution based features.

Shivani Dhok, Varad Pimpalkhute, Ambarish Chandurkar, Ankit A. Bhurane, Manish Sharma, U. Rajendra Acharya

Comput. Biol. Medicine, 2020

UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter.

Arjun Magge, Varad Pimpalkhute, Divya Rallapalli, David Siguenza, Graciela Gonzalez-Hernandez

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020