Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Nimesh Agrawal, Anuj Kumar Sirohi, Sandeep Kumar, Jayadeva |
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation.  |
AAAI  |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Debanjali Sarkar, Taimoor Khan, Jayadeva, Ahmed A. Kishk |
Machine Learning Assisted Hybrid Electromagnetic Modeling Framework and Its Applications to UWB MIMO Antennas.  |
IEEE Access  |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan |
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics.  |
CoRR  |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Mohd Zaki, Jayadeva, Mausam, N. M. Anoop Krishnan |
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models.  |
CoRR  |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Nimesh Agrawal, Anuj Kumar Sirohi, Jayadeva, Sandeep Kumar |
No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation.  |
CoRR  |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan |
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks.  |
CoRR  |
2023 |
DBLP DOI BibTeX RDF |
|
1 | Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan |
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems.  |
ICLR  |
2023 |
DBLP BibTeX RDF |
|
1 | Mohd Zaki, Siddhant Sharma, Sunil Kumar Gurjar, Raju Goyal, Jayadeva, N. M. Anoop Krishnan |
Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images.  |
CoRR  |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Suresh Bishnoi, Skyler Badge, Jayadeva, N. M. Anoop Krishnan |
Predicting Oxide Glass Properties with Low Complexity Neural Network and Physical and Chemical Descriptors.  |
CoRR  |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Shruti Pandey, Jayadeva, Smruti R. Sarangi |
A Novel Meta-predictor based Algorithm for Testing VLSI Circuits.  |
CoRR  |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Shruti Sharma, Santanu Chaudhury, Jayadeva |
Block Sparse Variational Bayes Regression Using Matrix Variate Distributions With Application to SSVEP Detection.  |
IEEE Trans. Neural Networks Learn. Syst.  |
2022 |
DBLP DOI BibTeX RDF |
|
1 | Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta |
ComBI: Compressed Binary Search Tree for Approximate k-NN Searches in Hamming Space.  |
Big Data Res.  |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Mayank Sharma, Sumit Soman, Jayadeva |
Minimal Complexity Machines Under Weight Quantization.  |
IEEE Trans. Computers  |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta |
Linear time identification of local and global outliers.  |
Neurocomputing  |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Kartikeya Badola, Sameer Ambekar, Himanshu Pant, Sumit Soman, Anuradha Sural, Rajiv Narang, Suresh Chandra 0001, Jayadeva |
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images.  |
CoRR  |
2021 |
DBLP BibTeX RDF |
|
1 | Skyler Badge, Sumit Soman, Suresh Chandra 0001, Jayadeva |
Kernel optimization using conformal maps for the minimal complexity machine.  |
Eng. Appl. Artif. Intell.  |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Aashi Jindal, Prashant Gupta, Debarka Sengupta, Jayadeva |
Enhash: A Fast Streaming Algorithm For Concept Drift Detection.  |
ESANN  |
2021 |
DBLP DOI BibTeX RDF |
|
1 | Sumit Soman, Jayadeva, Rajat Thakur, Mayank Sharma, Suresh Chandra 0001 |
Sparsity in function and derivative approximation via the empirical feature space.  |
Inf. Sci.  |
2020 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Sumit Soman, Himanshu Pant, Mayank Sharma |
QMCM: Minimizing Vapnik's bound on the VC dimension.  |
Neurocomputing  |
2020 |
DBLP DOI BibTeX RDF |
|
1 | Aashi Jindal, Prashant Gupta, Debarka Sengupta, Jayadeva |
Enhash: A Fast Streaming Algorithm For Concept Drift Detection.  |
CoRR  |
2020 |
DBLP BibTeX RDF |
|
1 | Himanshu Pant, Jayadeva, Sumit Soman |
Complexity Controlled Generative Adversarial Networks.  |
CoRR  |
2020 |
DBLP BibTeX RDF |
|
1 | Himanshu Pant, Sumit Soman, Jayadeva, Amit Bhaya |
Neurodynamical classifiers with low model complexity.  |
Neural Networks  |
2020 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Himanshu Pant, Mayank Sharma, Sumit Soman |
Twin Neural Networks for the classification of large unbalanced datasets.  |
Neurocomputing  |
2019 |
DBLP DOI BibTeX RDF |
|
1 | Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta |
Guided Random Forest and its application to data approximation.  |
CoRR  |
2019 |
DBLP BibTeX RDF |
|
1 | Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey, Jayadeva, Sai Guruju, Nihal Goalla |
Smaller Models, Better Generalization.  |
CoRR  |
2019 |
DBLP BibTeX RDF |
|
1 | Mayank Sharma, Aayush Yadav, Sumit Soman, Jayadeva |
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise.  |
CoRR  |
2019 |
DBLP BibTeX RDF |
|
1 | Sumit Soman, Jayadeva |
Learning from Low Training Data using Classifiers with Derivative Constraints.  |
COMAD/CODS  |
2019 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Mayank Sharma, Sumit Soman, Himanshu Pant |
Ultra-Sparse Classifiers Through Minimizing the VC Dimension in the Empirical Feature Space - Submitted to the Special Issue on "Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition".  |
Neural Process. Lett.  |
2018 |
DBLP DOI BibTeX RDF |
|
1 | Mayank Sharma, Jayadeva, Sumit Soman |
Radius-margin bounds for deep neural networks.  |
CoRR  |
2018 |
DBLP BibTeX RDF |
|
1 | Udit Kumar, Sumit Soman, Jayadeva |
Eigen-MM: EigenAnt Modified Mtsls1 for local search.  |
Swarm Evol. Comput.  |
2018 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Sumit Soman, Soumya Saxena |
EigenSample: A non-iterative technique for adding samples to small datasets.  |
Appl. Soft Comput.  |
2018 |
DBLP DOI BibTeX RDF |
|
1 | Shruti Sharma, Santanu Chaudhury, Jayadeva |
Some Comments on Variational Bayes Block Sparse Modeling with Correlated Entries.  |
RRPR  |
2018 |
DBLP DOI BibTeX RDF |
|
1 | Shruti Sharma, Santanu Chaudhury, Jayadeva |
Variational Bayes Block Sparse Modeling with Correlated Entries.  |
ICPR  |
2018 |
DBLP DOI BibTeX RDF |
|
1 | Shruti Sharma, Santanu Chaudhury, Jayadeva |
Temporal Modeling of EEG Signals using Block Sparse Variational Bayes Framework.  |
ICVGIP  |
2018 |
DBLP DOI BibTeX RDF |
|
1 | Shruti Sharma, Santanu Chaudhury, Jayadeva, Snigdha Bhagat |
Sparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries: A Bayesian Perspective.  |
ICVGIP  |
2018 |
DBLP DOI BibTeX RDF |
|
1 | Himanshu Pant, Sumit Soman, Jayadeva, Mayank Sharma |
Twin Neural Networks for Efficient EEG Signal Classification.  |
IJCNN  |
2018 |
DBLP DOI BibTeX RDF |
|
1 | Mayank Sharma, Sumit Soman, Jayadeva, Himanshu Pant |
Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines.  |
IJCNN  |
2018 |
DBLP DOI BibTeX RDF |
|
1 | Mayank Sharma, Jayadeva, Sumit Soman, Himanshu Pant |
Large-Scale Minimal Complexity Machines Using Explicit Feature Maps.  |
IEEE Trans. Syst. Man Cybern. Syst.  |
2017 |
DBLP DOI BibTeX RDF |
|
1 | Pawas Gupta, Sanjit S. Batra, Jayadeva |
Sparse short-term time series forecasting models via minimum model complexity.  |
Neurocomputing  |
2017 |
DBLP DOI BibTeX RDF |
|
1 | Disha Shrivastava, Santanu Chaudhury, Jayadeva |
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark.  |
CoRR  |
2017 |
DBLP BibTeX RDF |
|
1 | Jayadeva, Himanshu Pant, Mayank Sharma, Abhimanyu Dubey, Sumit Soman, Sai Guruju, Nihal Goalla |
Learning Neural Network Classifiers with Low Model Complexity.  |
CoRR  |
2017 |
DBLP BibTeX RDF |
|
1 | Himanshu Pant, Jayadeva, Sumit Soman, Mayank Sharma |
Scalable Twin Neural Networks for Classification of Unbalanced Data.  |
CoRR  |
2017 |
DBLP BibTeX RDF |
|
1 | Jayadeva, Reshma Khemchandani, Suresh Chandra 0001 |
Twin Support Vector Machines - Models, Extensions and Applications  |
|
2017 |
DOI RDF |
|
1 | Jayadeva, Suresh Chandra 0001, Sanjit S. Batra, Siddarth Sabharwal |
Learning a hyperplane regressor through a tight bound on the VC dimension.  |
Neurocomputing  |
2016 |
DBLP DOI BibTeX RDF |
|
1 | Abhimanyu Dubey, Jayadeva, Sumeet Agarwal |
Examining Representational Similarity in ConvNets and the Primate Visual Cortex.  |
CoRR  |
2016 |
DBLP BibTeX RDF |
|
1 | Udit Kumar, Sumit Soman, Jayadeva |
Benchmarking NLopt and state-of-the-art algorithms for continuous global optimization via IACOR.  |
Swarm Evol. Comput.  |
2016 |
DBLP DOI BibTeX RDF |
|
1 | Udit Kumar, Sumit Soman, Jayadeva |
EigenAnt assisted IACOℝ for continuous global optimization.  |
SMC  |
2016 |
DBLP DOI BibTeX RDF |
|
1 | Sumit Soman, Jayadeva, Sridhar P. Arjunan, Dinesh Kant Kumar |
Improved sEMG signal classification using the Twin SVM.  |
SMC  |
2016 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva |
Learning a hyperplane classifier by minimizing an exact bound on the VC dimension.  |
Neurocomputing  |
2015 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Sanjit Singh Batra, Siddarth Sabharwal |
Learning a Fuzzy Hyperplane Fat Margin Classifier with Minimum VC dimension.  |
CoRR  |
2015 |
DBLP BibTeX RDF |
|
1 | Phool Preet, Sanjit Singh Batra, Jayadeva |
Feature Selection for classification of hyperspectral data by minimizing a tight bound on the VC dimension.  |
CoRR  |
2015 |
DBLP BibTeX RDF |
|
1 | Jayadeva, Sumit Soman, Amit Bhaya |
A Neurodynamical System for finding a Minimal VC Dimension Classifier.  |
CoRR  |
2015 |
DBLP BibTeX RDF |
|
1 | Udit Kumar, Sumit Soman, Jayadeva |
Benchmarking NLopt and state-of-art algorithms for Continuous Global Optimization via Hybrid IACOℝ.  |
CoRR  |
2015 |
DBLP BibTeX RDF |
|
1 | Sumit Soman, Jayadeva |
High performance EEG signal classification using classifiability and the Twin SVM.  |
Appl. Soft Comput.  |
2015 |
DBLP DOI BibTeX RDF |
|
1 | Udit Kumar, Jayadeva, Sumit Soman |
Enhancing Incremental Ant Colony Algorithm for Continuous Global Optimization.  |
GECCO (Companion)  |
2015 |
DBLP DOI BibTeX RDF |
|
1 | Udit Kumar, Jayadeva, Sumit Soman |
Enhancing IACOR Local Search by Mtsls1-BFGS for Continuous Global Optimization.  |
GECCO  |
2015 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Sumit Soman, Amit Bhaya |
The MC-ELM: Learning an ELM-like network with minimum VC dimension.  |
IJCNN  |
2015 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Suresh Chandra 0001, Siddarth Sabharwal, Sanjit S. Batra |
Learning a hyperplane regressor by minimizing an exact bound on the VC dimension.  |
CoRR  |
2014 |
DBLP BibTeX RDF |
|
1 | Jayadeva |
Learning a hyperplane classifier by minimizing an exact bound on the VC dimension.  |
CoRR  |
2014 |
DBLP BibTeX RDF |
|
1 | Jayadeva, Sanjit S. Batra, Siddarth Sabharwal |
Feature Selection through Minimization of the VC dimension.  |
CoRR  |
2014 |
DBLP BibTeX RDF |
|
1 | Eugenius Kaszkurewicz, Amit Bhaya, Jayadeva, João Marcos Meirelles da Silva |
The Coupled EigenAnt algorithm for shortest path problems.  |
IEEE Congress on Evolutionary Computation  |
2014 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Sameena Shah, Amit Bhaya, Ravi Kothari, Suresh Chandra 0001 |
Ants find the shortest path: a mathematical proof.  |
Swarm Intell.  |
2013 |
DBLP DOI BibTeX RDF |
|
1 | Audrey Tan, Dinesh K. Kumar, Sridhar P. Arjunan, Jayadeva |
Computation and study of the low-frequency oscillation of surface electromyogram recorded in biceps during isometric upper limb contraction.  |
EMBC  |
2013 |
DBLP DOI BibTeX RDF |
|
1 | Vasiliki N. Ikonomidou, Jayadeva, Robert W. Newcomb, Mona E. Zaghloul |
Biomedical sensor properties of flexible PolyVinyliDene flouride.  |
PETRA  |
2013 |
DBLP DOI BibTeX RDF |
|
1 | Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra 0001 |
Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers.  |
Neurocomputing  |
2012 |
DBLP DOI BibTeX RDF |
|
1 | Mittul Singh, Jivitej Chadha, Puneet Ahuja, Jayadeva, Suresh Chandra 0001 |
Reduced twin support vector regression.  |
Neurocomputing  |
2011 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Sameena Shah, Ravi Kothari, Suresh Chandra 0001 |
Debugging ants: How ants find the shortest route.  |
ICICS  |
2011 |
DBLP DOI BibTeX RDF |
|
1 | Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra 0001 |
M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions.  |
AAAI  |
2011 |
DBLP DOI BibTeX RDF |
|
1 | Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra 0001 |
Trail formation in ants. A generalized Polya urn process.  |
Swarm Intell.  |
2010 |
DBLP DOI BibTeX RDF |
|
1 | Reshma Khemchandani, Jayadeva, Suresh Chandra 0001 |
Learning the optimal kernel for Fisher discriminant analysis via second order cone programming.  |
Eur. J. Oper. Res.  |
2010 |
DBLP DOI BibTeX RDF |
|
1 | Ganesh R. Naik, Dinesh Kant Kumar, Jayadeva |
Twin SVM for gesture classification using the surface electromyogram.  |
IEEE Trans. Inf. Technol. Biomed.  |
2010 |
DBLP DOI BibTeX RDF |
|
1 | Reshma Khemchandani, Jayadeva, Suresh Chandra 0001 |
Regularized least squares fuzzy support vector regression for financial time series forecasting.  |
Expert Syst. Appl.  |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Reshma Khemchandani, Jayadeva, Suresh Chandra 0001 |
Optimal kernel selection in twin support vector machines.  |
Optim. Lett.  |
2009 |
DBLP DOI BibTeX RDF |
Learning kernels, Twin support vector machines, Kernel methods, Convex optimization |
1 | Reshma Khemchandani, Jayadeva, Suresh Chandra 0001 |
Knowledge based proximal support vector machines.  |
Eur. J. Oper. Res.  |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Sameena Shah, Suresh Chandra 0001 |
Kernel Optimization Using a Generalized Eigenvalue Approach.  |
PReMI  |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Sameena Shah, Suresh Chandra 0001 |
Zero Norm Least Squares Proximal SVR.  |
PReMI  |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Reshma Khemchandani, Jayadeva, Suresh Chandra 0001 |
Linear potential proximal support vector machines for pattern classification.  |
Optim. Methods Softw.  |
2008 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Reshma Khemchandani, Suresh Chandra 0001 |
Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives.  |
Inf. Sci.  |
2008 |
DBLP DOI BibTeX RDF |
|
1 | V. Girish, Jayadeva, Saeid Nooshabadi |
Design methodology for configurable analog to digital conversion using support vector machines.  |
Microelectron. J.  |
2008 |
DBLP DOI BibTeX RDF |
|
1 | Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra 0001 |
Mathematical Modeling and Convergence Analysis of Trail Formation.  |
AAAI  |
2008 |
DBLP BibTeX RDF |
|
1 | Jayadeva, Reshma Khemchandani, Suresh Chandra 0001 |
Fuzzy multi-category proximal support vector classification via generalized eigenvalues.  |
Soft Comput.  |
2007 |
DBLP DOI BibTeX RDF |
Proximal classifier, Multi-category classification, Fuzzy data classification, Support vector machines, Generalized eigenvalues |
1 | Jayadeva, Reshma Khemchandani, Suresh Chandra 0001 |
Twin Support Vector Machines for Pattern Classification.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2007 |
DBLP DOI BibTeX RDF |
machine learning, Support vector machines, pattern classification, eigenvalues, eigenvectors, generalized eigenvalues |
1 | Alok Kanti Deb, Jayadeva, Madan Gopal, Suresh Chandra 0001 |
SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control.  |
IEEE Trans. Neural Networks  |
2007 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Reshma Khemchandani, Suresh Chandra 0001 |
Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting.  |
IJCNN  |
2006 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Reshma Khemchandani, Suresh Chandra 0001 |
Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative.  |
IJCNN  |
2006 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Reshma Khemchandani, Suresh Chandra 0001 |
Fuzzy linear proximal support vector machines for multi-category data classification.  |
Neurocomputing  |
2005 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Reshma Khemchandani, Suresh Chandra 0001 |
Fuzzy Proximal Support Vector Classification Via Generalized Eigenvalues.  |
PReMI  |
2005 |
DBLP DOI BibTeX RDF |
fuzzy data classification, proximal classifier, machine learning, Support vector machines, generalized eigenvalue problem |
1 | Jayadeva, Reshma Khemchandani, Suresh Chandra 0001 |
Fast and robust learning through fuzzy linear proximal support vector machines.  |
Neurocomputing  |
2004 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Syed Atiqur Rahman |
A neural network with O(N) neurons for ranking N numbers in O(1/N) time.  |
IEEE Trans. Circuits Syst. I Regul. Pap.  |
2004 |
DBLP DOI BibTeX RDF |
|
1 | Shantanu Chakrabartty, Gert Cauwenberghs, Jayadeva |
Sparse Probability Regression by Label Partitioning.  |
COLT  |
2003 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva |
Sequential Chaotic Annealing and its Application to Multilayer Channel Routing.  |
VLSI Design  |
1999 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Basabi Bhaumik |
A neural network for the Steiner minimal tree problem.  |
Biol. Cybern.  |
1994 |
DBLP DOI BibTeX RDF |
|
1 | Jayadeva, Basabi Bhaumik |
Optimization with neural networks: a recipe for improving convergence and solution quality.  |
Biol. Cybern.  |
1992 |
DBLP DOI BibTeX RDF |
|