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ORCIDHimanshu Jain
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2020 – today
- 2024
[j10]Himanshu Jain
, Arvind Kumar Sinha:
Mathematical model of mixed invasive ductal and lobular breast cancer. Netw. Model. Anal. Health Informatics Bioinform. 13(1): 28 (2024)- [c40]Sourav Das, Aritra Hazra, Pallab Dasgupta, Sudipta Kundu, Himanshu Jain:
PURSE: Property Ordering Using Runtime Statistics for Efficient Multi - Property Verification. DATE 2024: 1-6 - [i16]Thivin Anandh, Divij Ghose, Himanshu Jain, Sashikumaar Ganesan:
FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries. CoRR abs/2404.12063 (2024) - [i15]Ziwei Ji, Himanshu Jain, Andreas Veit, Sashank J. Reddi, Sadeep Jayasumana, Ankit Singh Rawat, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar:
Efficient Document Ranking with Learnable Late Interactions. CoRR abs/2406.17968 (2024) - 2023
- [j9]Himanshu Jain, Arvind Kumar Sinha:
Modeling the effect of Wolbachia to control malaria transmission. Expert Syst. Appl. 221: 119769 (2023) - [j8]Nishant Namdev, Himanshu Jain, Arvind Kumar Sinha:
Mathematical model of the tumor cells' population growth. Netw. Model. Anal. Health Informatics Bioinform. 12(1): 2 (2023) - [c39]Ashish Kapoor, Warren E. Ferguson, Himanshu Jain, Sudipta Kundu:
Formal Verification of Floating-Point Division. ARITH 2023: 93-96 - [c38]Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, Prateek Jain:
Treeformer: Dense Gradient Trees for Efficient Attention Computation. ICLR 2023 - [c37]Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar:
Teacher Guided Training: An Efficient Framework for Knowledge Transfer. ICLR 2023 - [c36]Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu:
SpecTr: Fast Speculative Decoding via Optimal Transport. NeurIPS 2023 - [i14]Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu:
SpecTr: Fast Speculative Decoding via Optimal Transport. CoRR abs/2310.15141 (2023) - 2022
- [j7]Himanshu Jain, Barry Mather, Akshay Kumar Jain, Samuel F. Baldwin:
Grid-Supportive Loads - A New Approach to Increasing Renewable Energy in Power Systems. IEEE Trans. Smart Grid 13(4): 2959-2972 (2022) - [i13]Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar:
Teacher Guided Training: An Efficient Framework for Knowledge Transfer. CoRR abs/2208.06825 (2022) - [i12]Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, Prateek Jain:
Treeformer: Dense Gradient Trees for Efficient Attention Computation. CoRR abs/2208.09015 (2022) - 2021
- [c35]Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar:
Long-tail learning via logit adjustment. ICLR 2021 - [c34]Aditeya Baral, Himanshu Jain, Deeksha D, Mamatha H. R:
MAPLE -MAsking words to generate blackout Poetry using sequence-to-sequence LEarning. ICNLSP 2021: 239-246 - [c33]Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma:
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. WSDM 2021: 31-39 - [i11]Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, Andreas Veit:
Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation. CoRR abs/2106.08823 (2021) - [i10]Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar:
Leveraging redundancy in attention with Reuse Transformers. CoRR abs/2110.06821 (2021) - [i9]Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma:
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. CoRR abs/2111.06685 (2021) - 2020
- [c32]Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar:
Semantic Label Smoothing for Sequence to Sequence Problems. EMNLP (1) 2020: 4992-4998 - [c31]Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan:
Adversarial robustness via robust low rank representations. NeurIPS 2020 - [c30]Himanshu Jain, Sakshi Rathore, T. P. Abdul Rahoof, Vivek Chaturvedi, Satyajit Das:
Fast and Efficient Decision-Based Attack for Deep Neural Network on Edge. SiPS 2020: 1-6 - [i8]Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan:
Adversarial robustness via robust low rank representations. CoRR abs/2007.06555 (2020) - [i7]Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar:
Long-tail learning via logit adjustment. CoRR abs/2007.07314 (2020) - [i6]Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar:
Semantic Label Smoothing for Sequence to Sequence Problems. CoRR abs/2010.07447 (2020)
2010 – 2019
- 2019
- [c29]Reetam Sen Biswas, Jin Tan, Himanshu Jain, Vahan Gevorgian, Yingchen Zhang:
Equivalent Test Bed in PSCAD and PSLF for Studying Advanced Power Systems Controller Performance. ISGT 2019: 1-5 - [c28]Himanshu Jain, Bryan Palmintier, Dheepak Krishnamurthy, Ibrahim Krad, Elaine T. Hale:
Evaluating the Impact of Price-Responsive Load on Power Systems Using Integrated T&D Simulation. ISGT 2019: 1-5 - [c27]Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma:
Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches. WSDM 2019: 528-536 - 2017
- [c26]Endri Dibra, Himanshu Jain, A. Cengiz Öztireli, Remo Ziegler, Markus H. Gross:
Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks. CVPR 2017: 5504-5514 - [c25]Himanshu Jain, Archana Praveen Kumar:
A bottom up procedure for text line segmentation of latin script. ICACCI 2017: 1182-1187 - [c24]Anirudh Agarwal, Himanshu Jain, Ranjan Gangopadhyay, Soumitra Debnath:
Hardware implementation of k-means clustering based spectrum sensing using usrp in a cognitive radio system. ICACCI 2017: 1772-1777 - [i5]Himanshu Jain:
A Sequential Thinning Algorithm For Multi-Dimensional Binary Patterns. CoRR abs/1710.03025 (2017) - [i4]Himanshu Jain, Archana Praveen Kumar:
A Bottom Up Procedure for Text Line Segmentation of Latin Script. CoRR abs/1710.03027 (2017) - 2016
- [c23]Endri Dibra, Himanshu Jain, A. Cengiz Öztireli, Remo Ziegler, Markus H. Gross:
HS-Nets: Estimating Human Body Shape from Silhouettes with Convolutional Neural Networks. 3DV 2016: 108-117 - [c22]Himanshu Jain, P. Radha Krishna, Kamalakar Karlapalem:
Context-Aware Workflow Execution Engine for E-Contract Enactment. ER 2016: 293-301 - [c21]Surbhi Chhabra, Himanshu Jain, Sandeep Saini:
FPGA based hardware implementation of automatic vehicle license plate detection system. ICACCI 2016: 1181-1187 - [c20]Himanshu Jain, Yashoteja Prabhu, Manik Varma:
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications. KDD 2016: 935-944 - [i3]Himanshu Jain, Kaveh Rahimi, Ahmad Tbaileh, Robert P. Broadwater, Akshay Kumar Jain, Murat Dilek:
Integrated Transmission & Distribution System Modeling and Analysis: Need & Advantages. CoRR abs/1606.01612 (2016) - 2015
- [c19]Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain:
Sparse Local Embeddings for Extreme Multi-label Classification. NIPS 2015: 730-738 - [i2]Himanshu Jain, Abhineet Parchure, Robert P. Broadwater, Murat Dilek, Jeremy Woyak:
Three-Phase Dynamics Simulation of Power Systems Using Combined Transmission and Distribution System Models. CoRR abs/1505.06225 (2015) - [i1]Kush Bhatia, Himanshu Jain, Purushottam Kar, Prateek Jain, Manik Varma:
Locally Non-linear Embeddings for Extreme Multi-label Learning. CoRR abs/1507.02743 (2015) - 2014
- [j6]Kalyanmoy Deb, Himanshu Jain:
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints. IEEE Trans. Evol. Comput. 18(4): 577-601 (2014) - [j5]Himanshu Jain, Kalyanmoy Deb:
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach. IEEE Trans. Evol. Comput. 18(4): 602-622 (2014) - [c18]Himanshu Jain, Kiran Kumaraswamy, Rakesh N. Maurya:
Plug-In Electric Vehicles - Distribution system impacts and high level screening methodologies for calculating costs and benefits. ISGT 2014: 1-5 - 2013
- [c17]Himanshu Jain, Kalyanmoy Deb:
An Improved Adaptive Approach for Elitist Nondominated Sorting Genetic Algorithm for Many-Objective Optimization. EMO 2013: 307-321 - [c16]Himanshu Jain, P. Radha Krishna, Kamalakar Karlapalem:
e-contract enactment system for effective e-governance. ICEGOV 2013: 344-345 - [c15]Himanshu Jain, Ashish Ranjan, Kshitij Gupta:
Analysis of Chaos in Double Pendulum. ICETET 2013: 171-176 - 2012
- [c14]Kalyanmoy Deb, Himanshu Jain:
Handling many-objective problems using an improved NSGA-II procedure. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c13]Himanshu Jain, Kalyanmoy Deb:
Parent to Mean-Centric Self-Adaptation in SBX Operator for Real-Parameter Optimization. SEMCCO (1) 2011: 299-306 - 2010
- [j4]Landolf Rhode-Barbarigos, Himanshu Jain, Prakash Kripakaran, Ian F. C. Smith:
Design of tensegrity structures using parametric analysis and stochastic search. Eng. Comput. 26(2): 193-203 (2010) - [c12]Himanshu Jain, Suratsavadee Korkua, Wei-Jen Lee, Chiman Kwan:
Detection and Severity Classification of Rotor Imbalance Faults in Induction Machines. IAS 2010: 1-8
2000 – 2009
- 2009
- [j3]Himanshu Jain, Edmund M. Clarke, Orna Grumberg:
Efficient Craig interpolation for linear Diophantine (dis)equations and linear modular equations. Formal Methods Syst. Des. 35(1): 6-39 (2009) - [c11]Himanshu Jain, Edmund M. Clarke:
Efficient SAT solving for non-clausal formulas using DPLL, graphs, and watched cuts. DAC 2009: 563-568 - [c10]Alfred Kölbl, Reily Jacoby, Himanshu Jain, Carl Pixley:
Solver technology for system-level to RTL equivalence checking. DATE 2009: 196-201 - 2008
- [j2]Himanshu Jain, Daniel Kroening, Natasha Sharygina, Edmund M. Clarke:
Word-Level Predicate-Abstraction and Refinement Techniques for Verifying RTL Verilog. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27(2): 366-379 (2008) - [c9]Himanshu Jain, Edmund M. Clarke, Orna Grumberg:
Efficient Craig Interpolation for Linear Diophantine (Dis)Equations and Linear Modular Equations. CAV 2008: 254-267 - 2007
- [j1]Edmund M. Clarke, Himanshu Jain, Daniel Kroening:
Verification of SpecC using predicate abstraction. Formal Methods Syst. Des. 30(1): 5-28 (2007) - [c8]Himanshu Jain, Daniel Kroening, Natasha Sharygina, Edmund M. Clarke:
VCEGAR: Verilog CounterExample Guided Abstraction Refinement. TACAS 2007: 583-586 - 2006
- [c7]Himanshu Jain, Franjo Ivancic, Aarti Gupta, Ilya Shlyakhter, Chao Wang:
Using Statically Computed Invariants Inside the Predicate Abstraction and Refinement Loop. CAV 2006: 137-151 - [c6]Himanshu Jain, Constantinos Bartzis, Edmund M. Clarke:
Satisfiability Checking of Non-clausal Formulas Using General Matings. SAT 2006: 75-89 - 2005
- [c5]Himanshu Jain, Daniel Kroening, Natasha Sharygina, Edmund M. Clarke:
Word level predicate abstraction and refinement for verifying RTL verilog. DAC 2005: 445-450 - [c4]Himanshu Jain, Franjo Ivancic, Aarti Gupta, Malay K. Ganai:
Localization and Register Sharing for Predicate Abstraction. TACAS 2005: 397-412 - [c3]Edmund M. Clarke, Himanshu Jain, Nishant Sinha:
Grand Challenge: Model Check Software. VISSAS 2005: 55-68 - [c2]Edmund M. Clarke, Anubhav Gupta, Himanshu Jain, Helmut Veith:
Model Checking: Back and Forth between Hardware and Software. VSTTE 2005: 251-255 - 2004
- [c1]Himanshu Jain, Daniel Kroening, Edmund M. Clarke:
Verification of SpecC using predicate abstraction. MEMOCODE 2004: 7-16
Coauthor Index
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