An Architecture for Problem Solving with Diagrams. - B. Chandrasekaran 001; Unmesh Kurup; Bonny Banerjee; John R. Josephson; Robert Winkler (Diagrams, 2004)

A Diagrammatic Reasoning Architecture: Design, Implementation and Experiments. - B. Chandrasekaran 001; Unmesh Kurup; Bonny Banerjee (AAAI Spring Symposium: Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance, 2005)

A Bimodal Cognitive Architecture: Explorations in Architectural Explanation of Spatial Reasoning. - B. Chandrasekaran 001; Unmesh Kurup (AAAI Spring Symposium: Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems, 2007)

Multi-modal Systems As Multi-representational Systems. - Unmesh Kurup; B. Chandrasekaran 001 (AAAI Fall Symposium: Multi-Representational Architectures for Human-Level Intelligence, 2009)

Integrating Constraint Satisfaction and Spatial Reasoning. - Unmesh Kurup; Nicholas L. Cassimatis (AAAI, 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; et al. (AI Mag., 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)

Integrating Perception and Cognition for AGI. - Unmesh Kurup; Christian Lebiere; Anthony Stentz (AGI, 2011)

An architectural framework for complex cognition. - Unmesh Kurup; Perrin G. Bignoli; Jonathan Richard Scally; Nicholas L. Cassimatis (Cogn. Syst. Res., 2011)

Augmenting Cognitive Architectures to Support Diagrammatic Imagination. - Balakrishnan Chandrasekaran 001; Bonny Banerjee; Unmesh Kurup; Omkar Lele (Top. Cogn. Sci., 2011)

Using Expectations to Drive Cognitive Behavior. - Unmesh Kurup; Christian Lebiere; Anthony Stentz; Martial Hebert (AAAI, 2012)

A data-driven approach towards patient identification for telehealth programs. - Martha Ganser; Sauptik Dhar; Unmesh Kurup; Carlos Cunha; Aca Gacic (IEEE BigData, 2015)

Patient Identification for Telehealth Programs. - Martha Ganser; Sauptik Dhar; Unmesh Kurup; Carlos Cunha; Aca Gacic (ICMLA, 2015)

Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure. - Pranjul Yadav; Unmesh Kurup; Mohak Shah (ICMLA, 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 (BuildSys, 2017)

Effective Building Block Design for Deep Convolutional Neural Networks using Search. - Jayanta K. Dutta; Jiayi Liu 002; Unmesh Kurup; Mohak Shah (CoRR, 2018)

Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling. - Jiayi Liu 002; Samarth Tripathi; Unmesh Kurup; Mohak Shah (CoRR, 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)

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. - Jiayi Liu 002; Samarth Tripathi; Unmesh Kurup; Mohak Shah (IEEE BigData, 2019)

Robust Neural Network Training using Periodic Sampling over Model Weights. - Samarth Tripathi; Jiayi Liu 002; Unmesh Kurup; Mohak Shah (CoRR, 2019)

On-Device Machine Learning: An Algorithms and Learning Theory Perspective. - Sauptik Dhar; Junyao Guo; Jiayi Liu 002; Samarth Tripathi; Unmesh Kurup; Mohak Shah (CoRR, 2019)

Improving Model Training by Periodic Sampling over Weight Distributions. - Samarth Tripathi; Jiayi Liu 002; Sauptik Dhar; Unmesh Kurup; Mohak Shah (IEEE BigData, 2020)

Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey. - Jiayi Liu 002; Samarth Tripathi; Unmesh Kurup; Mohak Shah (CoRR, 2020)

Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization. - Sauptik Dhar; Unmesh Kurup; Mohak Shah (CoRR, 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)

Evolving GANs: When Contradictions Turn into Compliance. - Sauptik Dhar; Javad Heydari; Samarth Tripathi; Unmesh Kurup; Mohak Shah (CoRR, 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)

No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection. - Mohamed Yousef; Marcel Ackermann 001; Unmesh Kurup; Tom E. Bishop (WACV, 2023)