Vinod Nair

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 8

Top Topics

Integer Program

Quantitative Evaluation

Search Algorithm

Top Venues

Publications

David Warde-Farley, Vinod Nair, Yujia Li, Ivan Lobov, Felix Gimeno, Simon Osindero
Solving MaxSAT with Matrix Multiplication. CoRR (2023)
Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis, Adam Paszke, Georg Stefan Schmid, Tamara Norman, James Molloy, Jonathan Godwin, Norman Alexander Rink, Vinod Nair, Dan Belov
Automap: Towards Ergonomic Automated Parallelism for ML Models. CoRR (2021)
Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs. CoRR (2021)
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs. ICLR (2020)
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols
Solving Mixed Integer Programs Using Neural Networks. CoRR (2020)
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
REGAL: Transfer Learning For Fast Optimization of Computation Graphs. CoRR (2019)
Xujie Si, Yujia Li, Vinod Nair, Felix Gimeno
Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving. CoRR (2019)
Vinod Nair, Dj Dvijotham, Iain Dunning, Oriol Vinyals
Learning Fast Optimizers for Contextual Stochastic Integer Programs. UAI (2018)
Vinod Nair, Ameya Raul, Shwetabh Khanduja, Vikas Bahirwani, Sundararajan Sellamanickam, S. Sathiya Keerthi, Steve Herbert, Sudheer Dhulipalla
Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues. KDD (2015)
Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi
Near Real-Time Service Monitoring Using High-Dimensional Time Series. ICDM Workshops (2015)
Rahul Kidambi, Vinod Nair, Sundararajan Sellamanickam, S. Sathiya Keerthi
A Structured Prediction Approach for Missing Value Imputation. CoRR (2013)
Vinod Nair, Rahul Kidambi, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke, Vijay Narayanan
A Quantitative Evaluation Framework for Missing Value Imputation Algorithms. CoRR (2013)
Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair
Learning hierarchical similarity metrics. CVPR (2012)
Vinod Nair, Dhruv Kumar Mahajan, Sundararajan Sellamanickam
A unified approach to learning task-specific bit vector representations for fast nearest neighbor search. WWW (2012)
Dhruv Kumar Mahajan, Sundararajan Sellamanickam, Vinod Nair
A joint learning framework for attribute models and object descriptions. ICCV (2011)
Vinod Nair, Geoffrey E. Hinton
Rectified Linear Units Improve Restricted Boltzmann Machines. ICML (2010)
Vinod Nair, Geoffrey E. Hinton
3D Object Recognition with Deep Belief Nets. NIPS (2009)
Ilya Sutskever, Vinod Nair
Mimicking Go Experts with Convolutional Neural Networks. ICANN (2) (2008)
Vinod Nair, Geoffrey E. Hinton
Implicit Mixtures of Restricted Boltzmann Machines. NIPS (2008)
Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton
Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. ICANN (1) (2008)
Geoffrey E. Hinton, Vinod Nair
Inferring Motor Programs from Images of Handwritten Digits. NIPS (2005)
Vinod Nair, Pierre-Olivier Laprise, James J. Clark
An FPGA-Based People Detection System. EURASIP J. Adv. Signal Process. 2005 (7) (2005)
Vinod Nair, James J. Clark
An Unsupervised, Online Learning Framework for Moving Object Detection. CVPR (2) (2004)
Vinod Nair, Martin Erdmann, Shridhar Mubaraq Mishra, Juraj Povazanec, Amit Shaligram, Chun Feng Hu
A single chip terminal solution for high-end telephone applications. CICC (2001)