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2020 – today
- 2023
[c14]Mohamed Yousef, Marcel Ackermann, Unmesh Kurup, Tom E. Bishop:
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection. WACV 2023: 5500-5509- 2022
- [i10]Mohamed Yousef, Marcel Ackermann, Unmesh Kurup, Tom E. Bishop:
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection. CoRR abs/2203.10344 (2022) - 2021
- [j6]Sauptik Dhar, Junyao Guo, Jiayi (Jason) Liu
, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective. ACM Trans. Internet Things 2(3): 15:1-15:49 (2021) - [i9]Sauptik Dhar, Javad Heydari, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Evolving GANs: When Contradictions Turn into Compliance. CoRR abs/2106.09946 (2021) - 2020
- [j5]Junyao Guo, Unmesh Kurup, Mohak Shah:
Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 21(8): 3135-3151 (2020) - [c13]Samarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah:
Improving Model Training by Periodic Sampling over Weight Distributions. IEEE BigData 2020: 112-122 - [i8]Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey. CoRR abs/2005.04275 (2020) - [i7]Sauptik Dhar, Unmesh Kurup, Mohak Shah:
Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization. CoRR abs/2007.13322 (2020)
2010 – 2019
- 2019
- [c12]Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. IEEE BigData 2019: 339-348 - [i6]Samarth Tripathi, Jiayi Liu, Unmesh Kurup, Mohak Shah:
Robust Neural Network Training using Periodic Sampling over Model Weights. CoRR abs/1905.05774 (2019) - [i5]Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
On-Device Machine Learning: An Algorithms and Learning Theory Perspective. CoRR abs/1911.00623 (2019) - [i4]Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. CoRR abs/1911.02522 (2019) - 2018
- [i3]Jayanta K. Dutta, Jiayi Liu, Unmesh Kurup, Mohak Shah:
Effective Building Block Design for Deep Convolutional Neural Networks using Search. CoRR abs/1801.08577 (2018) - [i2]Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling. CoRR abs/1807.00847 (2018) - [i1]Junyao Guo, Unmesh Kurup, Mohak Shah:
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving. CoRR abs/1811.11277 (2018) - 2017
- [c11]Pranjul Yadav, Unmesh Kurup, Mohak Shah:
Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure. ICMLA 2017: 1055-1060 - [c10]Seyed Hamid Mirebrahim, Mohammad Shokoohi-Yekta, Unmesh Kurup, Torsten Welfonder, Mohak Shah:
A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior. BuildSys@SenSys 2017: 5:1-5:9 - 2015
- [c9]Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic:
A data-driven approach towards patient identification for telehealth programs. IEEE BigData 2015: 2551-2559 - [c8]Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic:
Patient Identification for Telehealth Programs. ICMLA 2015: 360-363 - 2012
- [c7]Unmesh Kurup, Christian Lebiere, Anthony Stentz, Martial Hebert:
Using Expectations to Drive Cognitive Behavior. AAAI 2012: 221-227 - 2011
- [j4]Unmesh Kurup, Perrin G. Bignoli, Jonathan Richard Scally, Nicholas L. Cassimatis:
An architectural framework for complex cognition. Cogn. Syst. Res. 12(3-4): 281-292 (2011) - [j3]Balakrishnan Chandrasekaran, Bonny Banerjee, Unmesh Kurup, Omkar Lele:
Augmenting Cognitive Architectures to Support Diagrammatic Imagination. Top. Cogn. Sci. 3(4): 760-777 (2011) - [c6]Unmesh Kurup, Christian Lebiere, Anthony Stentz:
Integrating Perception and Cognition for AGI. AGI 2011: 102-111 - 2010
- [j2]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:
Reports of the AAAI 2009 Fall Symposia. AI Mag. 31(1): 88-94 (2010) - [j1]Nicholas L. Cassimatis, Perrin G. Bignoli, Magdalena D. Bugajska, Scott Dugas, Unmesh Kurup, Arthi Murugesan, Paul Bello:
An Architecture for Adaptive Algorithmic Hybrids. IEEE Trans. Syst. Man Cybern. Part B 40(3): 903-914 (2010) - [c5]Unmesh Kurup, Nicholas L. Cassimatis:
Integrating Constraint Satisfaction and Spatial Reasoning. AAAI 2010: 1536-1541
2000 – 2009
- 2009
- [c4]Unmesh Kurup, B. Chandrasekaran:
Multi-modal Systems As Multi-representational Systems. AAAI Fall Symposium: Multi-Representational Architectures for Human-Level Intelligence 2009 - 2007
- [c3]B. Chandrasekaran, Unmesh Kurup:
A Bimodal Cognitive Architecture: Explorations in Architectural Explanation of Spatial Reasoning. AAAI Spring Symposium: Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems 2007: 17-22 - 2005
- [c2]B. Chandrasekaran, Unmesh Kurup, Bonny Banerjee:
A Diagrammatic Reasoning Architecture: Design, Implementation and Experiments. AAAI Spring Symposium: Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance 2005: 108-113 - 2004
- [c1]B. Chandrasekaran, Unmesh Kurup, Bonny Banerjee, John R. Josephson, Robert Winkler:
An Architecture for Problem Solving with Diagrams. Diagrams 2004: 151-165
Coauthor Index
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