Bryan Catanzaro

According to our database1, Bryan Catanzaro authored at least 32 papers between 2005 and 2018.

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Bibliography

2018
Video-to-Video Synthesis.
CoRR, 2018

Large Scale Language Modeling: Converging on 40GB of Text in Four Hours.
CoRR, 2018

Image Inpainting for Irregular Holes Using Partial Convolutions.
CoRR, 2018

SDC-Net: Video Prediction Using Spatially-Displaced Convolution.
Proceedings of the Computer Vision - ECCV 2018, 2018

Image Inpainting for Irregular Holes Using Partial Convolutions.
Proceedings of the Computer Vision - ECCV 2018, 2018

Malware Detection by Eating a Whole EXE.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs.
CoRR, 2017

Malware Detection by Eating a Whole EXE.
CoRR, 2017

2016
DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow.
CoRR, 2016

Persistent RNNs: Stashing Recurrent Weights On-Chip.
Proceedings of the 33nd International Conference on Machine Learning, 2016


2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.
CoRR, 2015

A collection-oriented programming model for performance portability.
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015

2014
Deep Speech: Scaling up end-to-end speech recognition.
CoRR, 2014

cuDNN: Efficient Primitives for Deep Learning.
CoRR, 2014

A decomposition for in-place matrix transposition.
Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2014

Nitro: A Framework for Adaptive Code Variant Tuning.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013
GPU Scripting and Code Generation with PyCUDA
CoRR, 2013

Deep learning with COTS HPC systems.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation.
Parallel Computing, 2012

2011
Copperhead: compiling an embedded data parallel language.
Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2011

Considerations When Evaluating Microprocessor Platforms.
Proceedings of the 3rd USENIX Workshop on Hot Topics in Parallelism, 2011

PALLAS: Mapping Applications onto Manycore.
Proceedings of the Multiprocessor System-on-Chip - Hardware Design and Tool Integration., 2011

2010
Ubiquitous Parallel Computing from Berkeley, Illinois, and Stanford.
IEEE Micro, 2010

Parallel computing with patterns and frameworks.
ACM Crossroads, 2010

2009
PyCUDA: GPU Run-Time Code Generation for High-Performance Computing
CoRR, 2009

Efficient, high-quality image contour detection.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Fast support vector machine training and classification on graphics processors.
Proceedings of the Machine Learning, 2008

Parallelizing CAD: a timely research agenda for EDA.
Proceedings of the 45th Design Automation Conference, 2008

2007
Efficient Parallelization of H.264 Decoding with Macro Block Level Scheduling.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2005
Choice of base revisited: higher radices for FPGA-based floating-point computation (abstract only).
Proceedings of the ACM/SIGDA 13th International Symposium on Field Programmable Gate Arrays, 2005

Higher Radix Floating-Point Representations for FPGA-Based Arithmetic.
Proceedings of the 13th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2005), 2005


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