Gordon Erlebacher

34 papers A* 1A 7C 1Misc 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2023 — conf
Combining graph neural networks and ROI-based convolutional neural networks to infer individualized graphs for Alzheimer's prediction.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Kevin Mueller, Anke Meyer-Baese, Gordon Erlebacher
2023 J jnl
Polychrony as Chinampas.
Algorithms
Eric Dolores-Cuenca, José Antonio Arciniega-Nevarez, Anh Nguyen, Amanda Yitong Zou, Luke Van Popering, Nathan Crock, Gordon Erlebacher, Jose L. Mendoza-Cortes
2022 — conf
Multimodal region-based transformer for the classification and prediction of Alzheimer's disease.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Kevin Mueller, Anke Meyer-Baese, Gordon Erlebacher
2021 J jnl
Polychrony as Chinampas.
CoRR
Eric Dolores-Cuenca, José Antonio Arciniega-Nevarez, Anh Nguyen, Yitong Zou, Nathan Crock, Gordon Erlebacher, Jose L. Mendoza-Cortes
2020 A* conf
The Generalization-Stability Tradeoff In Neural Network Pruning.
NeurIPS
Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher
2019 J jnl
The Generalization-Stability Tradeoff in Neural Network Pruning.
CoRR
Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher
2018 J jnl
A Compartmental Model to Investigate Local and Global Ca2+ Dynamics in Astrocytes.
Frontiers Comput. Neurosci.
Evan Cresswell-Clay, Nathan Crock, Joël Tabak, Gordon Erlebacher
2018 J jnl
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks.
CoRR
Brian R. Bartoldson, Adrian Barbu, Gordon Erlebacher
2018 — conf
Model Refinement for Terrain Responsive Planning on a Dynamic Running Quadruped.
ISER
Mario Harper, David Balbuena, Justin Larson, Camilo Ordonez, Gordon Erlebacher, Emmanuel G. Collins Jr., Jonathan E. Clark
2014 A conf
Acceleration of derivative calculations with application to radial basis function: finite-differences on the intel mic architecture.
ICS
Gordon Erlebacher, Erik Saule, Natasha Flyer, Evan F. Bollig
2012 J jnl
A New Reweighted Algorithm With Support Detection for Compressed Sensing.
IEEE Signal Process. Lett.
Qin Li, Jianwei Ma, Gordon Erlebacher
2012 J jnl
Solution to PDEs using radial basis function finite-differences (RBF-FD) on multiple GPUs.
J. Comput. Phys.
Evan F. Bollig, Natasha Flyer, Gordon Erlebacher
2011 J jnl
Hybrid No-Reference Natural Image Quality Assessment of Noisy, Blurry, JPEG2000, and JPEG Images.
IEEE Trans. Image Process.
Ji Shen, Qin Li, Gordon Erlebacher
2010 J jnl
High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster.
J. Comput. Phys.
Dimitri Komatitsch, Gordon Erlebacher, Dominik Göddeke, David Michéa
2010 J jnl
Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs.
Comput. Sci. Res. Dev.
Dimitri Komatitsch, Dominik Göddeke, Gordon Erlebacher, David Michéa
2010 J jnl
Toolkits for automatic web service and GUI generation: KWATT.
Concurr. Comput. Pract. Exp.
Yenan Qu, Gordon Erlebacher, Evan F. Bollig, Julien Lafourcade, Magali Lapeyre-Mirande
2009 C conf
Curvelet based no-reference objective image Quality Assessment.
PCS
Ji Shen, Qin Li, Gordon Erlebacher
2009 J jnl
Porting a high-order finite-element earthquake modeling application to NVIDIA graphics cards using CUDA.
J. Parallel Distributed Comput.
Dimitri Komatitsch, David Michéa, Gordon Erlebacher
2007 J jnl
VLab: collaborative Grid services and portals to support computational material science.
Concurr. Comput. Pract. Exp.
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
2006 — conf
A Web-Based Visualization and Reposition Scheme for Scientific Data.
MSV
Ravi Ananthuni, Bijaya Karki, Evan F. Bollig, Cesar R. S. da Silva, Gordon Erlebacher
2006 Misc conf
The School of Computational Science at Florida State University.
International Conference on Computational Science (2)
Gordon Erlebacher, Janet S. Peterson
2005 — ch.
Flow Textures: High-Resolution Flow Visualization.
The Visualization Handbook
Gordon Erlebacher, Bruno Jobard, Daniel Weiskopf
2005 — ch.
Overview of Flow Visualization.
The Visualization Handbook
Daniel Weiskopf, Gordon Erlebacher
2005 A conf
Particle and Texture Based Spatiotemporal Visualization of Time-Dependent Vector Fields.
IEEE Visualization
Daniel Weiskopf, Frederik Schramm, Gordon Erlebacher, Thomas Ertl
2004 — conf
Hybrid Matrix Geometric Algebra.
IWMM/GIAE
Garret Sobczyk, Gordon Erlebacher
2003 A conf
A Texture-Based Framework for Spacetime-Coherent Visualization of Time-Dependent Vector Fields.
IEEE Visualization
Daniel Weiskopf, Gordon Erlebacher, Thomas Ertl
2003 — conf
A novel technique for face recognition using range imaging.
ISSPA (2)
Curt Hesher, Anuj Srivastava, Gordon Erlebacher
2002 A conf
Case Study: Visualization and Analysis of High Rayleigh Number - 3D Convection in the Earth's Mantle.
IEEE Visualization
Gordon Erlebacher, David A. Yuen, Fabien Dubuffet
2002 A conf
Case Study: Visualizing Ocean Flow Vertical Motions using Lagrangian-Eulerian Time Surfaces.
IEEE Visualization
Josh Grant, Gordon Erlebacher, James F. O'Brien
2002 — conf
Hardware-Accelerated Langrangian-Eulerian Texture Advection for 2D Flow.
VMV
Daniel Weiskopf, Gordon Erlebacher, Matthias Hopf, Thomas Ertl
2002 J jnl
Lagrangian-Eulerian Advection of Noise and Dye Textures for Unsteady Flow Visualization.
IEEE Trans. Vis. Comput. Graph.
Bruno Jobard, Gordon Erlebacher, M. Yousuff Hussaini
2001 A conf
Lagrangian-Eulerian Advection for Unsteady Flow Visualization.
IEEE Visualization
Bruno Jobard, Gordon Erlebacher, M. Yousuff Hussaini
2000 A conf
Hardware-accelerated texture advection for unsteady flow visualization.
IEEE Visualization
Bruno Jobard, Gordon Erlebacher, M. Yousuff Hussaini
1995 J jnl
Implementation of a fully balanced periodic tridiagonal solver on a parallel distributed memory architecture.
Concurr. Pract. Exp.
Thomas Eidson, Gordon Erlebacher