Unmesh Kurup

According to our database, Unmesh Kurup authored at least 28 papers between 2004 and 2023.

Collaborative distances:

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

2023

No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection.

Mohamed Yousef, Marcel Ackermann, Unmesh Kurup, Tom E. Bishop

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2021

A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective.

Sauptik Dhar, Junyao Guo, Jiayi (Jason) Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

ACM Trans. Internet Things, 2021

Evolving GANs: When Contradictions Turn into Compliance.

Sauptik Dhar, Javad Heydari, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2021

2020

Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving.

Junyao Guo, Unmesh Kurup, Mohak Shah

IEEE Trans. Intell. Transp. Syst., 2020

Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization.

Sauptik Dhar, Unmesh Kurup, Mohak Shah

CoRR, 2020

Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey.

Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2020

Improving Model Training by Periodic Sampling over Weight Distributions.

Samarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

On-Device Machine Learning: An Algorithms and Learning Theory Perspective.

Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2019

Robust Neural Network Training using Periodic Sampling over Model Weights.

Samarth Tripathi, Jiayi Liu, Unmesh Kurup, Mohak Shah

CoRR, 2019

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning.

Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving.

Junyao Guo, Unmesh Kurup, Mohak Shah

CoRR, 2018

Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling.

Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2018

Effective Building Block Design for Deep Convolutional Neural Networks using Search.

Jayanta K. Dutta, Jiayi Liu, Unmesh Kurup, Mohak Shah

CoRR, 2018

2017

A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior.

Seyed Hamid Mirebrahim, Mohammad Shokoohi-Yekta, Unmesh Kurup, Torsten Welfonder, Mohak Shah

Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure.

Pranjul Yadav, Unmesh Kurup, Mohak Shah

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2015

Patient Identification for Telehealth Programs.

Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A data-driven approach towards patient identification for telehealth programs.

Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2012

Using Expectations to Drive Cognitive Behavior.

Unmesh Kurup, Christian Lebiere, Anthony Stentz, Martial Hebert

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Augmenting Cognitive Architectures to Support Diagrammatic Imagination.

Balakrishnan Chandrasekaran, Bonny Banerjee, Unmesh Kurup, Omkar Lele

Top. Cogn. Sci., 2011

An architectural framework for complex cognition.

Unmesh Kurup, Perrin G. Bignoli, Jonathan Richard Scally, Nicholas L. Cassimatis

Cogn. Syst. Res., 2011

Integrating Perception and Cognition for AGI.

Unmesh Kurup, Christian Lebiere, Anthony Stentz

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010

An Architecture for Adaptive Algorithmic Hybrids.

Nicholas L. Cassimatis, Perrin G. Bignoli, Magdalena D. Bugajska, Scott Dugas, Unmesh Kurup, Arthi Murugesan, Paul Bello

IEEE Trans. Syst. Man Cybern. Part B, 2010

Reports of the AAAI 2009 Fall Symposia.

Roger Azevedo, Trevor J. M. Bench-Capon, Gautam Biswas, Ted Carmichael, Nancy L. Green, Mirsad Hadzikadic, Oluwasanmi Koyejo, Unmesh Kurup, Simon Parsons, Roberto Pirrone, Henry Prakken, Alexei V. Samsonovich, Donia Scott, Richard Souvenir

AI Mag., 2010

Integrating Constraint Satisfaction and Spatial Reasoning.

Unmesh Kurup, Nicholas L. Cassimatis

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Multi-modal Systems As Multi-representational Systems.

Unmesh Kurup, B. Chandrasekaran

Proceedings of the Multi-Representational Architectures for Human-Level Intelligence, 2009

2007

A Bimodal Cognitive Architecture: Explorations in Architectural Explanation of Spatial Reasoning.

B. Chandrasekaran, Unmesh Kurup

Proceedings of the Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems, 2007

2005

A Diagrammatic Reasoning Architecture: Design, Implementation and Experiments.

B. Chandrasekaran, Unmesh Kurup, Bonny Banerjee

Proceedings of the Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance, 2005

2004

An Architecture for Problem Solving with Diagrams.

B. Chandrasekaran, Unmesh Kurup, Bonny Banerjee, John R. Josephson, Robert Winkler

Proceedings of the Diagrammatic Representation and Inference, 2004