Vipin Chaudhary

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All published works

Action	Title	Year	Authors
+ PDF Chat	Approaches to Simultaneously Solving Variational Quantum Eigensolver Problems	2024	Adam Hutchings Eric Yarnot Xinpeng Li Qiang Guan Ning Xie Shuai Xu Vipin Chaudhary
+ PDF Chat	Efficient Circuit Wire Cutting Based on Commuting Groups	2024	Xinpeng Li Vinooth Kulkarni Daniel T. Chen Qiang Guan Weiwen Jiang Ning Xie Shuai Xu Vipin Chaudhary
+ PDF Chat	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion	2024	Guanchu Wang Yu-Neng Chuang Ruixiang Tang Shaochen Zhong Jiayi Yuan Hongye Jin Zirui Liu Vipin Chaudhary Shuai Xu James Caverlee
+ PDF Chat	Forte : Finding Outliers with Representation Typicality Estimation	2024	Debargha Ganguly Warren R. Morningstar Andrew Yu Vipin Chaudhary
+ PDF Chat	Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks	2024	Debargha Ganguly Debayan Gupta Vipin Chaudhary
+ PDF Chat	Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning	2024	Debargha Ganguly Srinivasan Iyengar Vipin Chaudhary Shivkumar Kalyanaraman
+ PDF Chat	Efficient Circuit Wire Cutting Based on Commuting Groups	2024	Xinpeng Li Vinooth Kulkarni Daniel T. Chen Qiang Guan Weiwen Jiang Ning Xie Shuai Xu Vipin Chaudhary
+ PDF Chat	Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2	2024	Andrew Yu Mohsen Hariri Xuecen Zhang Mingrui Yang Vipin Chaudhary Xiaojuan Li
+ PDF Chat	Privacy-Preserving Collaborative Genomic Research: A Real-Life Deployment and Vision	2024	Zahra Rahmani Nahal Shahini Nadav Gat Zebin Yun Yuzhou Jiang Ofir Farchy Yaniv Harel Vipin Chaudhary Mahmood Sharif Erman Ayday
+ PDF Chat	KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches	2024	Jiayi Yuan Hongyi Liu Shaochen Zhong Yu-Neng Chuang Songchen Li Guanchu Wang Duy Tho Le Hongye Jin Vipin Chaudhary
+ PDF Chat	Learning the Market: Sentiment-Based Ensemble Trading Agents	2024	Andrew Ye James Y. Xu Yi Wang Yifan Yu D. Yan Ryan Chen Bosheng Dong Vipin Chaudhary Shuai Xu
+ PDF Chat	An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions	2024	Caleb Tung Nicholas Eliopoulos Purvish Jajal Gowri Ramshankar Chengyun Yang Nicholas Synovic Xuecen Zhang Vipin Chaudhary George K. Thiruvathukal Yung‐Hsiang Lu
+ PDF Chat	Online Detection of Golden Circuit Cutting Points	2023	Daniel T. Chen Ethan H. Hansen Xinpeng Li Aaron Orenstein Vinooth Kulkarni Vipin Chaudhary Qiang Guan Ji Liu Yang Zhang Shuai Xu
+ PDF Chat	Efficient Quantum Circuit Cutting by Neglecting Basis Elements	2023	Daniel T. Chen Ethan H. Hansen Xinpeng Li Vinooth Kulkarni Vipin Chaudhary Bin Ren Qiang Guan Sanmukh R. Kuppannagari Ji Liu Shuai Xu
+	Efficient Quantum Circuit Cutting by Neglecting Basis Elements	2023	Daniel T. Chen Ethan H. Hansen Xinpeng Li Vinooth Kulkarni Vipin Chaudhary Bin Ren Qiang Guan Sanmukh R. Kuppannagari Ji Liu Shuai Xu
+	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model	2023	Zirui Liu Guanchu Wang Shaochen Zhong Zhaozhuo Xu Daochen Zha Ruixiang Tang Zhimeng Jiang Kaixiong Zhou Vipin Chaudhary Shuai Xu
+	Online Detection of Golden Circuit Cutting Points	2023	Daniel T. Chen Ethan H. Hansen Xinpeng Li Aaron Orenstein Vinooth Kulkarni Vipin Chaudhary Qiang Guan Liu Ji Yang Zhang Shuai Xu
+	An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions	2023	Caleb Tung Nicholas Eliopoulos Purvish Jajal Gowri Ramshankar Chen-Yun Yang Nicholas Synovic Xuecen Zhang Vipin Chaudhary George K. Thiruvathukal Yung‐Hsiang Lu
+ PDF Chat	MARS: Malleable Actor-Critic Reinforcement Learning Scheduler	2022	Betis Baheri Jacob Tronge Bo Fang Ang Li Vipin Chaudhary Qiang Guan
+ PDF Chat	Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision	2022	Caleb Tung Abhinav Goel Xiao Hu Nicholas Eliopoulos Emmanuel S. Amobi George K. Thiruvathukal Vipin Chaudhary Yung-Hsiang Lu
+	Give me a knee radiograph, I will tell you where the knee joint area is: a deep convolutional neural network adventure	2022	Yan Shi Taghi Ramazanian Elham Sagheb Walter K. Kremers Vipin Chaudhary Michael J. Taunton Hilal Maradit Kremers Ahmad P. Tafti
+	Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision	2022	Caleb Tung Abhinav Goel Xiao Hu Nicholas Eliopoulos Emmanuel Amobi George K. Thiruvathukal Vipin Chaudhary Yung‐Hsiang Lu
+	Approximate Quantum Circuit Cutting	2022	Daniel Chen Betis Baheri Vipin Chaudhary Qiang Guan Ning Xie Shuai Xu
+	Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction.	2021	Yi Wei Cristian Ioan Tiu Vipin Chaudhary
+	Advances in Computing and Network Communications	2021	Sabu M. Thampi Erol Gelenbe Mohammed Atiquzzaman Vipin Chaudhary Kuan‐Ching Li
+	MARS: Malleable Actor-Critic Reinforcement Learning Scheduler	2020	Betis Baheri Jacob Tronge Bo Fang Ang Li Vipin Chaudhary Qiang Guan
+	Harnessing GANs for Addition of New Classes in VSR.	2019	Yaman Kumar Shubham Maheshwari Dhruva Sahrawat Praveen Jhanwar Vipin Chaudhary Rajiv Ratn Shah Debanjan Mahata
+	Quantified Spectrum Sharing: Motivation, Approach, and Benefits.	2016	Nilesh Khambekar Chad M. Spooner Vipin Chaudhary
+	Quantified Spectrum Sharing: Motivation, Approach, and Benefits	2016	Nilesh Khambekar Chad M. Spooner Vipin Chaudhary
+	MUSE: A Methodology for Characterizing and Quantifying the Use of Spectrum	2015	Nilesh Khambekar Chad M. Spooner Vipin Chaudhary
+	MUSE: A Methodology for Characterizing and Quantifying the Use of Spectrum	2015	Nilesh Khambekar Chad M. Spooner Vipin Chaudhary
+	Maximizing Spectrum Availability and Exploitation: How to Maximize Spectrum Sharing Benefits to the Incumbents?	2014	Nilesh Khambekar Chad M. Spooner Vipin Chaudhary
+	Going Towards Discretized Spectrum Space: Quantification of Spectrum Consumption Spaces and a Quantified Spectrum Access Paradigm	2014	Nilesh Khambekar Chad M. Spooner Vipin Chaudhary

Common Coauthors

Coauthor	Papers Together
Qiang Guan	10
Xinpeng Li	7
Vinooth Kulkarni	6
Daniel T. Chen	6
Chad M. Spooner	6
Nilesh Khambekar	6
Shuai Xu	5
Nicholas Eliopoulos	4
Caleb Tung	4
George K. Thiruvathukal	4
Ethan H. Hansen	4
Zirui Liu	3
Xuecen Zhang	3
Yung‐Hsiang Lu	3
Debargha Ganguly	3
Ji Liu	3
Betis Baheri	3
Shuai Xu	3
Jiayi Yuan	2
Nicholas Synovic	2
Ning Xie	2
Gowri Ramshankar	2
Shuai Xu	2
Zhaozhuo Xu	2
Ruixiang Tang	2
Hongye Jin	2
Purvish Jajal	2
Bin Ren	2
Yang Zhang	2
Weiwen Jiang	2
Abhinav Goel	2
Xiao Hu	2
Shaochen Zhong	2
Jacob Tronge	2
Yu-Neng Chuang	2
Andrew Yu	2
Aaron Orenstein	2
Guanchu Wang	2
Sanmukh R. Kuppannagari	2
Michael J. Taunton	1
Emmanuel Amobi	1
Taghi Ramazanian	1
Bo Fang	1
Duy Tho Le	1
Sabu M. Thampi	1
Debanjan Mahata	1
Mingrui Yang	1
Kuan‐Ching Li	1
Ahmad P. Tafti	1
Yaniv Harel	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Quantum Divide and Compute: Exploring the Effect of Different Noise Sources	2021	Thomas Ayral François-Marie Le Régent Zain H. Saleem Yuri Alexeev Martin Suchara	3
+ PDF Chat	Simulating Large Quantum Circuits on a Small Quantum Computer	2020	Tianyi Peng Aram W. Harrow Māris Ozols Xiaodi Wu	3
+	Quantum Divide and Conquer for Combinatorial Optimization and Distributed Computing	2021	Zain H. Saleem Teague Tomesh Michael A. Perlin Pranav Gokhale Martin Suchara	3
+ PDF Chat	Quantum circuit cutting with maximum-likelihood tomography	2021	Michael A. Perlin Zain H. Saleem Martin Suchara James C. Osborn	3
+	Quantum Divide and Conquer for Classical Shadows	2022	Daniel T. Chen Zain H. Saleem Michael A. Perlin	3
+ PDF Chat	Fast quantum circuit cutting with randomized measurements	2023	Angus Lowe Matija Medvidović Anthony Hayes Lee J. O apos Riordan Thomas R. Bromley Juan Miguel Arrazola Nathan Killoran	3
+	Classical simulators as quantum error mitigators via circuit cutting	2022	Ji Liu Alvin Gonzales Zain H. Saleem	3
+ PDF Chat	Rotation-inspired circuit cut optimization	2022	Gideon Uchehara Tor M. Aamodt Olivia Di Matteo	3
+ PDF Chat	Quantum Divide and Compute: Hardware Demonstrations and Noisy Simulations	2020	Thomas Ayral François-Marie Le Régent Zain H. Saleem Yuri Alexeev Martin Suchara	2
+	Hypothesis Testing for Error Mitigation: How to Evaluate Error Mitigation	2023	Abdullah Ash Saki Amara Katabarwa Salonik Resch George Umbrarescu	2
+ PDF Chat	Efficient Quantum Circuit Cutting by Neglecting Basis Elements	2023	Daniel T. Chen Ethan H. Hansen Xinpeng Li Vinooth Kulkarni Vipin Chaudhary Bin Ren Qiang Guan Sanmukh R. Kuppannagari Ji Liu Shuai Xu	2
+ PDF Chat	Fault-tolerant operation of a logical qubit in a diamond quantum processor	2022	M. H. Abobeih Y. Wang J. Randall S. J. H. Loenen C. E. Bradley Matthew Markham Daniel J. Twitchen Barbara M. Terhal T. H. Taminiau	2
+ PDF Chat	Mitiq: A software package for error mitigation on noisy quantum computers	2022	Ryan LaRose Andrea Mari Sarah Kaiser Peter J. Karalekas Andre A. Alves Piotr Czarnik Mohamed El Mandouh Max Hunter Gordon Yousef Hindy Aaron Robertson	2
+	Going Towards Discretized Spectrum Space: Quantification of Spectrum Consumption Spaces and a Quantified Spectrum Access Paradigm	2014	Nilesh Khambekar Chad M. Spooner Vipin Chaudhary	1
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	1
+	Predicting the direction of stock market prices using random forest	2016	Luckyson Khaidem Snehanshu Saha Sudeepa Roy Dey	1
+	Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models	2016	Viktoriya Krakovna Finale Doshi‐Velez	1
+	Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI	2016	Cristina Gallego-Ortiz Anne L. Martel	1
+ PDF Chat	Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning	2017	Tien-Ju Yang Yu‐Hsin Chen Vivienne Sze	1
+ PDF Chat	Semantic Scene Completion from a Single Depth Image	2017	Shuran Song Fisher Yu Andy Zeng Anne Lynn S. Chang Manolis Savva Thomas Funkhouser	1
+ PDF Chat	Spatially Adaptive Computation Time for Residual Networks	2017	Michael Figurnov Maxwell D. Collins Yukun Zhu Zhang Li Jonathan Huang Dmitry Vetrov Ruslan Salakhutdinov	1
+	Device Placement Optimization with Reinforcement Learning	2017	Azalia Mirhoseini Hieu Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio Jeff Dean	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+ PDF Chat	Quantum algorithms for electronic structure calculations: Particle-hole Hamiltonian and optimized wave-function expansions	2018	Panagiotis Kl. Barkoutsos Jérôme F. Gonthier Igor O. Sokolov Nikolaj Moll G. Salis Andreas Fuhrer Marc Ganzhorn Daniel J. Egger Matthias Troyer Antonio Mezzacapo	1
+	Microsoft COCO: Common Objects in Context	2014	Tsung-Yi Lin Michael Maire Serge Belongie Lubomir Bourdev Ross Girshick James Hays Pietro Perona Deva Ramanan C. Lawrence Zitnick Piotr Dollár	1
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	1
+ PDF Chat	BranchyNet: Fast inference via early exiting from deep neural networks	2016	Surat Teerapittayanon Bradley McDanel H. T. Kung	1
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	1
+ PDF Chat	Experience-driven Networking: A Deep Reinforcement Learning based Approach	2018	Zhiyuan Xu Jian Tang Jingsong Meng Wei Zhang Yanzhi Wang Chi Harold Liu Dejun Yang	1
+ PDF Chat	SBNet: Sparse Blocks Network for Fast Inference	2018	Mengye Ren Andrei Pokrovsky Bin Yang Raquel Urtasun	1
+ PDF Chat	MnasNet: Platform-Aware Neural Architecture Search for Mobile	2019	Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew Howard Quoc V. Le	1
+	Minimizing State Preparations in Variational Quantum Eigensolver by Partitioning into Commuting Families	2019	Pranav Gokhale Olivia Angiuli Yongshan Ding Kaiwen Gui Teague Tomesh Martin Suchara Margaret Martonosi Frederic T. Chong	1
+	Learning scheduling algorithms for data processing clusters	2019	Hongzi Mao Malte Schwarzkopf Shaileshh Bojja Venkatakrishnan Zili Meng Mohammad Alizadeh	1
+	RLScheduler: Learn to Schedule HPC Batch Jobs Using Deep Reinforcement Learning.	2019	Di Zhang Dong Dai Youbiao He Forrest Sheng Bao	1
+ PDF Chat	Correlation Congruence for Knowledge Distillation	2019	Baoyun Peng Jin Xiao Dongsheng Li Shunfeng Zhou Yichao Wu Jiaheng Liu Zhaoning Zhang Yu Liu	1
+ PDF Chat	EfficientDet: Scalable and Efficient Object Detection	2020	Mingxing Tan Ruoming Pang Quoc V. Le	1
+ PDF Chat	Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference	2020	Thomas Verelst Tinne Tuytelaars	1
+ PDF Chat	A Survey of Methods for Low-Power Deep Learning and Computer Vision	2020	Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal	1
+	Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification	2016	Seyed Mostafa Kia	1
+ PDF Chat	Predicting many properties of a quantum system from very few measurements	2020	Hsin-Yuan Huang Richard Kueng John Preskill	1
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	1
+	Constructing a virtual two-qubit gate by sampling single-qubit operations	2020	Kosuke Mitarai Keisuke Fujii	1
+ PDF Chat	Resource-efficient quantum algorithm for protein folding	2021	Anton Robert Panagiotis Kl. Barkoutsos Stefan Woerner Ivano Tavernelli	1
+ PDF Chat	CutQC: using small Quantum computers for large Quantum circuit evaluations	2021	Wei Tang Teague Tomesh Martin Suchara Jeffrey Larson Margaret Martonosi	1
+ PDF Chat	Robust Consistent Video Depth Estimation	2021	Johannes Kopf Xuejian Rong Jia‐Bin Huang	1
+ PDF Chat	Introduction to Monte Carlo simulation	2008	Samik Raychaudhuri	1
+ PDF Chat	SupermarQ: A Scalable Quantum Benchmark Suite	2022	Teague Tomesh Pranav Gokhale Victory Omole Gokul Subramanian Ravi Kaitlin N. Smith Joshua Viszlai Xin-Chuan Wu Nikos Hardavellas Margaret Martonosi Frederic T. Chong	1
+ PDF Chat	Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision	2022	Caleb Tung Abhinav Goel Xiao Hu Nicholas Eliopoulos Emmanuel S. Amobi George K. Thiruvathukal Vipin Chaudhary Yung-Hsiang Lu	1
+	MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking	2015	Laura Leal-Taixé Anton Milan Ian Reid Stefan Roth Konrad Schindler	1
+	Optimal wire cutting with classical communication	2023	Lukas Brenner Christophe Piveteau David Sutter	1