Vinod Nair

According to our database, Vinod Nair authored at least 25 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Solving MaxSAT with Matrix Multiplication.

David Warde-Farley, Vinod Nair, Yujia Li, Ivan Lobov, Felix Gimeno, Simon Osindero

CoRR, 2023

2021

Automap: Towards Ergonomic Automated Parallelism for ML Models.

Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis, Adam Paszke, Georg Stefan Schmid, Tamara Norman, James Molloy, Jonathan Godwin, Norman Alexander Rink, Vinod Nair, Dan Belov

CoRR, 2021

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs.

Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair

CoRR, 2021

2020

Solving Mixed Integer Programs Using Neural Networks.

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

CoRR, 2020

Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs.

Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving.

Xujie Si, Yujia Li, Vinod Nair, Felix Gimeno

CoRR, 2019

REGAL: Transfer Learning For Fast Optimization of Computation Graphs.

Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals

CoRR, 2019

2018

Learning Fast Optimizers for Contextual Stochastic Integer Programs.

Vinod Nair, Dj Dvijotham, Iain Dunning, Oriol Vinyals

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2015

Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues.

Vinod Nair, Ameya Raul, Shwetabh Khanduja, Vikas Bahirwani, Sundararajan Sellamanickam, S. Sathiya Keerthi, Steve Herbert, Sudheer Dhulipalla

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Near Real-Time Service Monitoring Using High-Dimensional Time Series.

Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2013

A Quantitative Evaluation Framework for Missing Value Imputation Algorithms.

Vinod Nair, Rahul Kidambi, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke, Vijay Narayanan

CoRR, 2013

A Structured Prediction Approach for Missing Value Imputation.

Rahul Kidambi, Vinod Nair, Sundararajan Sellamanickam, S. Sathiya Keerthi

CoRR, 2013

2012

A unified approach to learning task-specific bit vector representations for fast nearest neighbor search.

Vinod Nair, Dhruv Kumar Mahajan, Sundararajan Sellamanickam

Proceedings of the 21st World Wide Web Conference 2012, 2012

Learning hierarchical similarity metrics.

Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

A joint learning framework for attribute models and object descriptions.

Dhruv Kumar Mahajan, Sundararajan Sellamanickam, Vinod Nair

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Visual Object Recognition Using Generative Models of Images.

Vinod Nair

PhD thesis, 2010

Rectified Linear Units Improve Restricted Boltzmann Machines.

Vinod Nair, Geoffrey E. Hinton

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

3D Object Recognition with Deep Belief Nets.

Vinod Nair, Geoffrey E. Hinton

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Implicit Mixtures of Restricted Boltzmann Machines.

Vinod Nair, Geoffrey E. Hinton

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Mimicking Go Experts with Convolutional Neural Networks.

Ilya Sutskever, Vinod Nair

Proceedings of the Artificial Neural Networks, 2008

Analysis-by-Synthesis by Learning to Invert Generative Black Boxes.

Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton

Proceedings of the Artificial Neural Networks, 2008

2005

An FPGA-Based People Detection System.

Vinod Nair, Pierre-Olivier Laprise, James J. Clark

EURASIP J. Adv. Signal Process., 2005

Inferring Motor Programs from Images of Handwritten Digits.

Geoffrey E. Hinton, Vinod Nair

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

An Unsupervised, Online Learning Framework for Moving Object Detection.

Vinod Nair, James J. Clark

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2001

A single chip terminal solution for high-end telephone applications.

Vinod Nair, Martin Erdmann, Shridhar Mubaraq Mishra, Juraj Povazanec, Amit Shaligram, Chun Feng Hu

Proceedings of the IEEE 2001 Custom Integrated Circuits Conference, 2001