Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. - Kin Gwn Lore; Daniel Stoecklein; Michael Davies; Baskar Ganapathysubramanian; Soumik Sarkar (FE@NIPS, 2015)

Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video. - Soumalya Sarkar; Kin Gwn Lore; Soumik Sarkar (CoCo@NIPS, 2015)

Topology control in mobile sensor networks using information space feedback. - Kin Gwn Lore; Soumik Sarkar; Devesh K. Jha (ACC, 2016)

Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities. - Soumalya Sarkar; Devesh K. Jha; Kin Gwn Lore; Soumik Sarkar; Asok Ray (ACC, 2016)

Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. - Kin Gwn Lore; Nicholas Sweet; Kundan Kumar; Nisar R. Ahmed; Soumik Sarkar (ICCPS, 2016)

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video. - Adedotun Akintayo; Kin Gwn Lore; Soumalya Sarkar; Soumik Sarkar (CoRR, 2016)

A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. - Aditya Balu; Kin Gwn Lore; Gavin Young; Adarsh Krishnamurthy; Soumik Sarkar (CoRR, 2016)

Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling. - Chao Liu 028; Kin Gwn Lore; Soumik Sarkar (CoRR, 2016)

Deep Action Sequence Learning for Causal Shape Transformation. - Kin Gwn Lore; Daniel Stoecklein; Michael Davies; Baskar Ganapathysubramanian; Soumik Sarkar (CoRR, 2016)

Data-driven root-cause analysis for distributed system anomalies. - Chao Liu 028; Kin Gwn Lore; Soumik Sarkar (CDC, 2017)

Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection. - Devu Manikantan Shila; Kin Gwn Lore; Tianshu Wei; Teems Lovetty; Yu Cheng 003 (CoRR, 2017)

LLNet: A deep autoencoder approach to natural low-light image enhancement. - Kin Gwn Lore; Adedotun Akintayo; Soumik Sarkar (Pattern Recognit., 2017)

Detecting Data Integrity Attacks on Correlated Solar Farms Using Multi-layer Data Driven Algorithm. - Kin Gwn Lore; Devu Manikantan Shila; Lingyu Ren (CNS, 2018)

Generative Adversarial Networks for Depth Map Estimation From RGB Video. - Kin Gwn Lore; Kishore K. Reddy; Michael Giering; Edgar A. Bernal (CVPR Workshops, 2018)

Physics-Based Features for Anomaly Detection in Power Grids with Micro-PMUs. - Mahmoud El Chamie; Kin Gwn Lore; Devu Manikantan Shila; Amit Surana (ICC, 2018)

A deep learning framework for causal shape transformation. - Kin Gwn Lore; Daniel Stoecklein; Michael Davies; Baskar Ganapathysubramanian; Soumik Sarkar (Neural Networks, 2018)

Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping. - Kin Gwn Lore; Kishore K. Reddy; Michael Giering; Edgar A. Bernal (CVPR Workshops, 2019)

Implicit Context-aware Learning and Discovery for Streaming Data Analytics. - Kin Gwn Lore; Kishore K. Reddy (CoRR, 2019)

Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. - Chao Liu 028; Kin Gwn Lore; Zhanhong Jiang; Soumik Sarkar (Knowl. Based Syst., 2021)

ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life. - Chandrakanth Gudavalli; Bowen Zhang; Connor Levenson; Kin Gwn Lore; B. S. Manjunath (CoRR, 2024)