Vinod Nair

Cochin University of Science and Technology — India

Computer Science · Physical Sciences

19h-index14.5kcitations36works0.02yr avg
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Research Topics

Advanced Image and Video Retrieval Techniques(6), Advancements in Transdermal Drug Delivery(6), Generative Adversarial Networks and Image Synthesis(5), Domain Adaptation and Few-Shot Learning(5), Lipid Membrane Structure and Behavior(3)

Publications36 total

CIFAR-10 & CIFAR-100
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
CIFAR-10 & CIFAR-100
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
SELECTION OF ELECTRICITY TARIFF DESIGNS FOR DISTRIBUTION NETWORKS USING ANALYTIC NETWORK PROCESS
International Journal of the Analytic Hierarchy Process·2023· 3 citedOpen Access
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
arXiv (Cornell University)·2021· 6 citedOpen Access
Solving Mixed Integer Programs Using Neural Networks
arXiv (Cornell University)·2020· 42 citedOpen Access
Neural Large Neighborhood Search
2020· 6 cited
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
International Conference on Learning Representations·2020· 20 cited
Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving
arXiv (Cornell University)·2019Open Access
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
arXiv (Cornell University)·2019· 25 citedOpen Access
REGAL: Transfer Learning For Fast Optimization of Computation Graphs.
arXiv (Cornell University)·2019· 12 citedOpen Access
Anti‐doping analytes in serum: A comparison of SST and SST‐II <i>Advance</i> blood collection tubes
Drug Testing and Analysis·2019· 3 cited
Learning Fast Optimizers for Contextual Stochastic Integer Programs
Uncertainty in Artificial Intelligence·2018· 14 cited
Synergistic Effect of Eugenol Acetate with Betalactam Antibiotic on Betalactamase and Its Bioinformatics Analysis
World Academy of Science, Engineering and Technology, International Journal of Pharmacological and Pharmaceutical Sciences·2017
Near Real-Time Service Monitoring Using High-Dimensional Time Series
2015· 2 cited
Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues
2015· 48 cited
A Quantitative Evaluation Framework for Missing Value Imputation Algorithms
arXiv (Cornell University)·2013Open Access
A Structured Prediction Approach for Missing Value Imputation
arXiv (Cornell University)·2013Open Access
Learning hierarchical similarity metrics
2012· 118 cited
A unified approach to learning task-specific bit vector representations for fast nearest neighbor search
2012· 4 cited
A joint learning framework for attribute models and object descriptions
2011· 82 cited
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Frequent Co-authors

Geoffrey E. Hinton(7), Ramesh Panchagnula(7), Sundararajan Sellamanickam(6), Felix Gimeno(5), Oriol Vinyals(5), Omathanu Pillai(4), Pushmeet Kohli(4), Yujia Li(4), Dhruv Mahajan(3), Aditya Paliwal(3), Miles Lubin(3), Poduri Ramarao(2), Ameya Raul(2), Shwetabh Khanduja(2), Sathiya Keerthi(2), Sergey Bartunov(2), Nicolas Sonnerat(2), Pengming Wang(2), Ravichandra Addanki(2), Sofia Ira Ktena(2)