A single chip terminal solution for high-end telephone applications. - Vinod Nair; Martin Erdmann; Shridhar Mubaraq Mishra; Juraj Povazanec; Amit Shaligram; Chun Feng Hu (CICC, 2001)

An Unsupervised, Online Learning Framework for Moving Object Detection. - Vinod Nair; James J. Clark (CVPR (2), 2004)

Inferring Motor Programs from Images of Handwritten Digits. - Geoffrey E. Hinton; Vinod Nair (NIPS, 2005)

An FPGA-Based People Detection System. - Vinod Nair; Pierre-Olivier Laprise; James J. Clark (EURASIP J. Adv. Signal Process., 2005)

Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. - Vinod Nair; Joshua M. Susskind; Geoffrey E. Hinton (ICANN (1), 2008)

Mimicking Go Experts with Convolutional Neural Networks. - Ilya Sutskever; Vinod Nair (ICANN (2), 2008)

Implicit Mixtures of Restricted Boltzmann Machines. - Vinod Nair; Geoffrey E. Hinton (NIPS, 2008)

3D Object Recognition with Deep Belief Nets. - Vinod Nair; Geoffrey E. Hinton (NIPS, 2009)

Rectified Linear Units Improve Restricted Boltzmann Machines. - Vinod Nair; Geoffrey E. Hinton (ICML, 2010)

Visual Object Recognition Using Generative Models of Images. - Vinod Nair (2010)

A joint learning framework for attribute models and object descriptions. - Dhruv Kumar Mahajan; Sundararajan Sellamanickam; Vinod Nair (ICCV, 2011)

Learning hierarchical similarity metrics. - Nakul Verma; Dhruv Mahajan 001; Sundararajan Sellamanickam; Vinod Nair (CVPR, 2012)

A unified approach to learning task-specific bit vector representations for fast nearest neighbor search. - Vinod Nair; Dhruv Kumar Mahajan; Sundararajan Sellamanickam (WWW, 2012)

A Structured Prediction Approach for Missing Value Imputation. - Rahul Kidambi; Vinod Nair; Sundararajan Sellamanickam; S. Sathiya Keerthi (CoRR, 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)

Near Real-Time Service Monitoring Using High-Dimensional Time Series. - Shwetabh Khanduja; Vinod Nair; S. Sundararajan; Ameya Raul; Ajesh Babu Shaj; S. Sathiya Keerthi (ICDM Workshops, 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 (KDD, 2015)

Learning Fast Optimizers for Contextual Stochastic Integer Programs. - Vinod Nair; Dj Dvijotham; Iain Dunning; Oriol Vinyals (UAI, 2018)

REGAL: Transfer Learning For Fast Optimization of Computation Graphs. - Aditya Paliwal; Felix Gimeno; Vinod Nair; Yujia Li 001; Miles Lubin; Pushmeet Kohli; Oriol Vinyals (CoRR, 2019)

Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving. - Xujie Si; Yujia Li 001; Vinod Nair; Felix Gimeno (CoRR, 2019)

Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs. - Aditya Paliwal; Felix Gimeno; Vinod Nair; Yujia Li 001; Miles Lubin; Pushmeet Kohli; Oriol Vinyals (ICLR, 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 001; Ravichandra Addanki; Tharindi Hapuarachchi; et al. (CoRR, 2020)

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs. - Nicolas Sonnerat; Pengming Wang 001; Ira Ktena; Sergey Bartunov; Vinod Nair (CoRR, 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)

Solving MaxSAT with Matrix Multiplication. - David Warde-Farley; Vinod Nair; Yujia Li 001; Ivan Lobov; Felix Gimeno; Simon Osindero (CoRR, 2023)