Kin Gwn Lore

发表

Generative Adversarial Networks for Depth Map Estimation from RGB Video

Edgar A. Bernal, Kin Gwn Lore, Kishore K. Reddy, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Deep Action Sequence Learning for Causal Shape Transformation pdf

Baskar Ganapathysubramanian, Soumik Sarkar, Michael Davies, 2016, ArXiv.

Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data

Baskar Ganapathysubramanian, Soumik Sarkar, Michael Davies, 2017, Scientific Reports.

Topology control in mobile sensor networks using information space feedback

Devesh K. Jha, Soumik Sarkar, Kin Gwn Lore, 2016, 2016 American Control Conference (ACC).

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video pdf

Soumik Sarkar, Kin Gwn Lore, Soumalya Sarkar, 2016, ArXiv.

Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities

Asok Ray, Devesh K. Jha, Soumik Sarkar, 2016, 2016 American Control Conference (ACC).

Detecting Data Integrity Attacks on Correlated Solar Farms Using Multi-layer Data Driven Algorithm

Lingyu Ren, Devu Manikantan Shila, Kin Gwn Lore, 2018, 2018 IEEE Conference on Communications and Network Security (CNS).

Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering

Soumik Sarkar, Nisar Ahmed, Kin Gwn Lore, 2015, 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS).

Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping

Edgar A. Bernal, Kin Gwn Lore, Michael Giering, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Deep Learning for Engineering Big Data Analytics

Baskar Ganapathysubramanian, Soumik Sarkar, Kin Gwn Lore, 2017 .

Physics-Based Features for Anomaly Detection in Power Grids with Micro-PMUs

Amit Surana, Devu Manikantan Shila, Kin Gwn Lore, 2018, 2018 IEEE International Conference on Communications (ICC).

Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection pdf

Yu Cheng, Tianshu Wei, Devu Manikantan Shila, 2017, ArXiv.

A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework pdf

Adarsh Krishnamurthy, Soumik Sarkar, Kin Gwn Lore, 2016, ArXiv.

Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video

Soumik Sarkar, Kin Gwn Lore, Soumalya Sarkar, 2015, CoCo@NIPS.

Data-driven root-cause analysis for distributed system anomalies

Chao Liu, Soumik Sarkar, Kin Gwn Lore, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Deep learning for decision making and autonomous complex systems

Kin Gwn Lore, 2016 .

Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns

Baskar Ganapathysubramanian, Soumik Sarkar, Michael Davies, 2015, FE@NIPS.

Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems

Chao Liu, Soumik Sarkar, Kin Gwn Lore, 2018, Knowl. Based Syst..

Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling pdf

Chao Liu, Soumik Sarkar, Kin Gwn Lore, 2016, ArXiv.

Implicit Context-aware Learning and Discovery for Streaming Data Analytics pdf

Kin Gwn Lore, Kishore K. Reddy, 2019, ArXiv.

LLNet: A deep autoencoder approach to natural low-light image enhancement

Soumik Sarkar, Kin Gwn Lore, Adedotun Akintayo, 2015, Pattern Recognit..

A deep learning framework for causal shape transformation

Baskar Ganapathysubramanian, Soumik Sarkar, Michael Davies, 2018, Neural Networks.

Learning Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes

Adarsh Krishnamurthy, Soumik Sarkar, Kin Gwn Lore, 2016, 1612.02141.

Early detection of combustion instability from hi-speed flame images via deep learning and symbolic time series analysis

Asok Ray, Shashi Phoha, Kin Gwn Lore, 2015 .

Prognostics of Combustion Instabilities from Hi-speed Flame Video using A Deep Convolutional Selective Autoencoder

Kin Gwn Lore, S. Sarkar, S. Sarkar, 2020 .

LLNet: A deep autoencoder approach to natural low-light image enhancement

Kin Gwn Lore, S. Sarkar, Adedotun Akintayo, 2015, Pattern Recognit..