Bryan Catanzaro

According to our database1, Bryan Catanzaro authored at least 26 papers between 2005 and 2019.

Collaborative distances:



In proceedings 
PhD thesis 





Waveglow: A Flow-based Generative Network for Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2019

Large Scale Language Modeling: Converging on 40GB of Text in Four Hours.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Video-to-Video Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

DSD: Dense-Sparse-Dense Training for Deep Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

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

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

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

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

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

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

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

Parallel computing with patterns and frameworks.
ACM Crossroads, 2010

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

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

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

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