Implementation of a fully balanced periodic tridiagonal solver on a parallel distributed memory architecture. - Thomas Eidson; Gordon Erlebacher (Concurr. Pract. Exp., 1995)

Hardware-accelerated texture advection for unsteady flow visualization. - Bruno Jobard; Gordon Erlebacher; M. Yousuff Hussaini (IEEE Visualization, 2000)

Lagrangian-Eulerian Advection for Unsteady Flow Visualization. - Bruno Jobard; Gordon Erlebacher; M. Yousuff Hussaini (IEEE Visualization, 2001)

Case Study: Visualization and Analysis of High Rayleigh Number - 3D Convection in the Earth's Mantle. - Gordon Erlebacher; David A. Yuen; Fabien Dubuffet (IEEE Visualization, 2002)

Case Study: Visualizing Ocean Flow Vertical Motions using Lagrangian-Eulerian Time Surfaces. - Josh Grant; Gordon Erlebacher; James F. O'Brien (IEEE Visualization, 2002)

Hardware-Accelerated Langrangian-Eulerian Texture Advection for 2D Flow. - Daniel Weiskopf; Gordon Erlebacher; Matthias Hopf; Thomas Ertl (VMV, 2002)

Lagrangian-Eulerian Advection of Noise and Dye Textures for Unsteady Flow Visualization. - Bruno Jobard; Gordon Erlebacher; M. Yousuff Hussaini (IEEE Trans. Vis. Comput. Graph., 2002)

A novel technique for face recognition using range imaging. - Curt Hesher; Anuj Srivastava; Gordon Erlebacher (ISSPA (2), 2003)

A Texture-Based Framework for Spacetime-Coherent Visualization of Time-Dependent Vector Fields. - Daniel Weiskopf; Gordon Erlebacher; Thomas Ertl (IEEE Visualization, 2003)

Hybrid Matrix Geometric Algebra. - Garret Sobczyk; Gordon Erlebacher (IWMM/GIAE, 2004)

Flow Textures: High-Resolution Flow Visualization. - Gordon Erlebacher; Bruno Jobard; Daniel Weiskopf (The Visualization Handbook, 2005)

Overview of Flow Visualization. - Daniel Weiskopf; Gordon Erlebacher (The Visualization Handbook, 2005)

Particle and Texture Based Spatiotemporal Visualization of Time-Dependent Vector Fields. - Daniel Weiskopf; Frederik Schramm; Gordon Erlebacher; Thomas Ertl (IEEE Visualization, 2005)

The School of Computational Science at Florida State University. - Gordon Erlebacher; Janet S. Peterson (International Conference on Computational Science (2), 2006)

A Web-Based Visualization and Reposition Scheme for Scientific Data. - Ravi Ananthuni; Bijaya Karki; Evan F. Bollig; Cesar R. S. da Silva; Gordon Erlebacher (MSV, 2006)

VLab: collaborative Grid services and portals to support computational material science. - Mehmet A. Nacar; Mehmet S. Aktas; Marlon E. Pierce; Zhenyu Lu; Gordon Erlebacher; Dan Kigelman; Evan F. Bollig; Cesar R. S. da Silva; Benny Sowell; David A. Yuen (Concurr. Comput. Pract. Exp., 2007)

Curvelet based no-reference objective image Quality Assessment. - Ji Shen; Qin Li; Gordon Erlebacher (PCS, 2009)

Porting a high-order finite-element earthquake modeling application to NVIDIA graphics cards using CUDA. - Dimitri Komatitsch; David Michéa; Gordon Erlebacher (J. Parallel Distributed Comput., 2009)

Toolkits for automatic web service and GUI generation: KWATT. - Yenan Qu; Gordon Erlebacher; Evan F. Bollig; Julien Lafourcade; Magali Lapeyre-Mirande (Concurr. Comput. Pract. Exp., 2010)

Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs. - Dimitri Komatitsch; Dominik Göddeke; Gordon Erlebacher; David Michéa (Comput. Sci. Res. Dev., 2010)

High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster. - Dimitri Komatitsch; Gordon Erlebacher; Dominik Göddeke; David Michéa (J. Comput. Phys., 2010)

Hybrid No-Reference Natural Image Quality Assessment of Noisy, Blurry, JPEG2000, and JPEG Images. - Ji Shen; Qin Li; Gordon Erlebacher (IEEE Trans. Image Process., 2011)

Solution to PDEs using radial basis function finite-differences (RBF-FD) on multiple GPUs. - Evan F. Bollig; Natasha Flyer; Gordon Erlebacher (J. Comput. Phys., 2012)

A New Reweighted Algorithm With Support Detection for Compressed Sensing. - Qin Li; Jianwei Ma; Gordon Erlebacher (IEEE Signal Process. Lett., 2012)

Acceleration of derivative calculations with application to radial basis function: finite-differences on the intel mic architecture. - Gordon Erlebacher; Erik Saule; Natasha Flyer; Evan F. Bollig (ICS, 2014)

Model Refinement for Terrain Responsive Planning on a Dynamic Running Quadruped. - Mario Harper; David Balbuena; Justin Larson; Camilo Ordonez; Gordon Erlebacher; Emmanuel G. Collins Jr.; Jonathan E. Clark (ISER, 2018)

Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks. - Brian R. Bartoldson; Adrian Barbu; Gordon Erlebacher (CoRR, 2018)

A Compartmental Model to Investigate Local and Global Ca2+ Dynamics in Astrocytes. - Evan Cresswell-Clay; Nathan Crock; Joël Tabak; Gordon Erlebacher (Frontiers Comput. Neurosci., 2018)

The Generalization-Stability Tradeoff In Neural Network Pruning. - Brian R. Bartoldson; Ari S. Morcos; Adrian Barbu; Gordon Erlebacher (NeurIPS, 2020)

Polychrony as Chinampas. - Eric Dolores-Cuenca; José Antonio Arciniega-Nevarez; Anh Nguyen; Yitong Zou; Nathan Crock; Gordon Erlebacher; Jose L. Mendoza-Cortes (CoRR, 2021)

Multimodal region-based transformer for the classification and prediction of Alzheimer's disease. - Kevin Mueller; Anke Meyer-Baese; Gordon Erlebacher (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Combining graph neural networks and ROI-based convolutional neural networks to infer individualized graphs for Alzheimer's prediction. - Kevin Mueller; Anke Meyer-Baese; Gordon Erlebacher (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Polychrony as Chinampas. - Eric Dolores-Cuenca; José Antonio Arciniega-Nevarez; Anh Nguyen; Amanda Yitong Zou; Luke Van Popering; Nathan Crock; Gordon Erlebacher; Jose L. Mendoza-Cortes (Algorithms, 2023)