Search Results - "Vasudevan, Shrihari"

Mutual Information Based Learning Rate Decay for Stochastic Gradient Descent Training of Deep Neural Networks by Vasudevan, Shrihari

“…This paper demonstrates a novel approach to training deep neural networks using a Mutual Information (MI)-driven, decaying Learning Rate (LR), Stochastic…”
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Bayesian space conceptualization and place classification for semantic maps in mobile robotics by Vasudevan, Shrihari, Siegwart, Roland

“…The future of robots, as our companions is dependent on their ability to understand, interpret and represent the environment in a human compatible manner…”
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Gaussian process modeling of large-scale terrain by Vasudevan, Shrihari, Ramos, Fabio, Nettleton, Eric, Durrant-Whyte, Hugh

“…Building a model of large‐scale terrain that can adequately handle uncertainty and incompleteness in a statistically sound way is a challenging problem. This…”
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Efficacy of Data Fusion Using Convolved Multi-Output Gaussian Processes by Vasudevan, Shrihari, Melkumyan, Arman, Scheding, Steven

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AN EMPIRICAL STUDY OF STARTING SALARIES AND EMPLOYMENT TRENDS OF ENGINEERING STUDENTS IN INDIA by Vasudevan, Shrihari, Chaudhuri, Ritwik, Pallan, Madhavan, Singh, Sudhanshu S.

“…This paper presents an empirical study of a recently compiled workforce analytics data-set modeling employment outcomes of Engineering students. The…”
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Estimating Fungibility Between Skills by Combining Skill Similarities Obtained from Multiple Data Sources by Vasudevan, Shrihari, Singh, Moninder, Mondal, Joydeep, Peran, Michael, Zweig, Benjamin, Johnston, Brian, Rosenfeld, Rachel

“…This paper proposes an approach to estimating fungibility between skills given multiple information sources of those skills. An estimate of skill adjacency or…”
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Data fusion with Gaussian processes by Vasudevan, Shrihari

“…This paper addresses the problem of fusing multiple sets of heterogeneous sensor data using Gaussian processes (GPs). Experiments on large scale terrain…”
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Cognitive maps for mobile robots—an object based approach by Vasudevan, Shrihari, Gächter, Stefan, Nguyen, Viet, Siegwart, Roland

“…Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to…”
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Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods by Natchiappan, Venkatachalam, Vasudevan, Shrihari, Muthukumar, Thalanayar

“…This paper proposes a data and Machine Learning-based forecasting solution for the Telecommunications network-rollout planning problem. Milestone…”
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Bayesian Regression for Interpretable Network Dimensioning by Vasudevan, Shrihari, Puthenpurakel, Sleeba Paul, Gutierrez, Marcial, Prasath, M.J.

“…This paper proposes a solution to learn interpretable regression models for the Telecommunications industry's network dimensioning problem. Domain knowledge in…”
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Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling by Vasudevan, Shrihari, Ramos, Fabio, Nettleton, Eric, Durrant-Whyte, Hugh

“…Obtaining a comprehensive model of large and complex terrain typically entails the use of both multiple sensory modalities and multiple data sets. This paper…”
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Dynamic learning rate using Mutual Information by Vasudevan, Shrihari

“…This paper demonstrates dynamic hyper-parameter setting, for deep neural network training, using Mutual Information (MI). The specific hyper-parameter studied…”
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A Mine on Its Own by Vasudevan, Shrihari, Ramos, Fabio, Nettleton, Eric, Durrant-Whyte, Hugh

“…This article presents a study of Gaussian process (GP) models applied to the problems of modeling and data fusion in the context of large-scale terrain…”
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Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods by Natchiappan, Venkatachalam, Vasudevan, Shrihari, Muthukumar, Thalanayar

“…This paper proposes a data and Machine Learning-based forecasting solution for the Telecommunications network-rollout planning problem. Milestone…”
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Sequential Binary Classification for Intrusion Detection in Software Defined Networks by Chokshi, Ishan, Vasudevan, Shrihari, Sundaram, Nachiappan, Ranganathan, Raaghul

“…Software-Defined Networks (SDN) are the standard architecture for network deployment. Intrusion Detection Systems (IDS) are a pivotal part of this technology…”
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A Mine on Its Own: Fully Autonomous, Remotely Operated Mine: Robot Learning: Problems, Applications, and Results by VASUDEVAN, Shrihari, RAMOS, Fabio, NETTLETON, Eric, DURRANT-WHYTE, Hugh

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Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot by Ramisa, Arnau, Aldavert, David, Vasudevan, Shrihari, Toledo, Ricardo, Lopez de Mantaras, Ramon

“…This paper addresses visual object perception applied to mobile robotics. Being able to perceive household objects in unstructured environments is a key…”
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Layer Dynamics of Linearised Neural Nets by Basu, Saurav, Mukherjee, Koyel, Vasudevan, Shrihari

“…Despite the phenomenal success of deep learning in recent years, there remains a gap in understanding the fundamental mechanics of neural nets. More research…”
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Large-scale terrain modeling from multiple sensors with dependent Gaussian processes by Vasudevan, S, Ramos, F, Nettleton, E, Durrant-Whyte, H

“…Terrain modeling remains a challenging yet key component for the deployment of ground robots to the field. The difficulty arrives from the variability of…”
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Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection by Gudur, Gautham Krishna, R, Raaghul, K, Adithya, Vasudevan, Shrihari

“…Anomaly Detection is a widely used technique in machine learning that identifies context-specific outliers. Most real-world anomaly detection applications are…”
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