Rithesh Kumar

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All published works

Action	Title	Year	Authors
+ PDF Chat	DMDSpeech: Distilled Diffusion Model Surpassing The Teacher in Zero-shot Speech Synthesis via Direct Metric Optimization	2024	Y. Li Rithesh Kumar Zeyu Jin
+	High-Fidelity Audio Compression with Improved RVQGAN	2023	Rithesh Kumar Prem Seetharaman Alejandro Luebs Ishaan Kumar Kundan Kumar
+	VampNet: Music Generation via Masked Acoustic Token Modeling	2023	Hugo Flores García Prem Seetharaman Rithesh Kumar Bryan Pardo
+	Chunked Autoregressive GAN for Conditional Waveform Synthesis	2021	Max Morrison Rithesh Kumar Kundan Kumar Prem Seetharaman Aaron Courville Yoshua Bengio
+	Chunked Autoregressive GAN for Conditional Waveform Synthesis	2021	Max Morrison Rithesh Kumar Kundan Kumar Prem Seetharaman Aaron Courville Yoshua Bengio
+	NU-GAN: High resolution neural upsampling with GAN	2020	Rithesh Kumar Kundan Kumar Vicki Anand Yoshua Bengio Aaron Courville
+	MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis	2019	Kundan Kumar Rithesh Kumar T. de Boissière Lucas Gestin Wei Zhen Teoh Jose Sotelo Alexandre de Brébisson Yoshua Bengio Aaron Courville
+	Maximum Entropy Generators for Energy-Based Models	2019	Rithesh Kumar Anirudh Goyal Aaron Courville Yoshua Bengio
+	MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis	2019	Kundan Kumar Rithesh Kumar T. de Boissière Lucas Gestin Wei Zhen Teoh Jose Sotelo Alexandre de Brébisson Yoshua Bengio Aaron Courville
+	ObamaNet: Photo-realistic lip-sync from text	2018	Rithesh Kumar Jose Sotelo Kundan Kumar Alexandre de Brébisson Yoshua Bengio
+	Harmonic Recomposition using Conditional Autoregressive Modeling	2018	Kyle Kastner Rithesh Kumar Tim Cooijmans Aaron Courville
+	SampleRNN: An Unconditional End-to-End Neural Audio Generation Model	2016	Soroush Mehri Kundan Kumar Ishaan Gulrajani Rithesh Kumar Shubham Jain Jose Sotelo Aaron Courville Yoshua Bengio
+	SampleRNN: An Unconditional End-to-End Neural Audio Generation Model	2016	Soroush Mehri Kundan Kumar Ishaan Gulrajani Rithesh Kumar Shubham Jain Jose Sotelo Aaron Courville Yoshua Bengio

Common Coauthors

Coauthor	Papers Together
Kundan Kumar	9
Aaron Courville	9
Yoshua Bengio	9
Jose Sotelo	5
Prem Seetharaman	4
Alexandre de Brébisson	3
T. de Boissière	2
Max Morrison	2
Ishaan Gulrajani	2
Shubham Jain	2
Wei Zhen Teoh	2
Soroush Mehri	2
Lucas Gestin	2
Ishaan Kumar	1
Alejandro Luebs	1
Tim Cooijmans	1
Kyle Kastner	1
Vicki Anand	1
Hugo Flores García	1
Y. Li	1
Zeyu Jin	1
Bryan Pardo	1
Anirudh Goyal	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	4
+	SampleRNN: An Unconditional End-to-End Neural Audio Generation Model	2016	Soroush Mehri Kundan Kumar Ishaan Gulrajani Rithesh Kumar Shubham Jain Jose Sotelo Aaron Courville Yoshua Bengio	3
+ PDF Chat	Waveglow: A Flow-based Generative Network for Speech Synthesis	2019	Ryan Prenger Rafael Valle Bryan Catanzaro	3
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	3
+	Pixel Recurrent Neural Networks	2016	Aäron van den Oord Nal Kalchbrenner Koray Kavukcuoglu	2
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	2
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	2
+	Parallel WaveNet: Fast High-Fidelity Speech Synthesis	2017	Aäron van den Oord Yazhe Li I. Babuschkin Karen Simonyan Oriol Vinyals Koray Kavukcuoglu George van den Driessche Edward Lockhart Luis C. Cobo Florian Stimberg	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Glow: Generative Flow with Invertible 1x1 Convolutions	2018	Diederik P. Kingma Prafulla Dhariwal	2
+	ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech	2018	Wei Ping Kainan Peng Jitong Chen	2
+	Generating Sequences With Recurrent Neural Networks	2013	Alex Graves	2
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alexander Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	2
+	GANSynth: Adversarial Neural Audio Synthesis	2019	Jesse Engel Kumar Krishna Agrawal Shuo Chen Ishaan Gulrajani Chris Donahue Adam P. Roberts	2
+	Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks	2016	Tim Salimans Diederik P. Kingma	1
+ PDF Chat	Learning to Generate Chairs, Tables and Cars with Convolutional Networks	2016	Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox	1
+	Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription	2012	Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent	1
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	1
+	Energy-based Generative Adversarial Network	2016	Junbo Zhao Michaël Mathieu Yann LeCun	1
+	Autoencoding beyond pixels using a learned similarity metric	2015	Anders Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther	1
+	NICE: Non-linear Independent Components Estimation	2014	Laurent Dinh David Krueger Yoshua Bengio	1
+	On distinguishability criteria for estimating generative models	2014	Ian Goodfellow	1
+	Video-to-Video Synthesis	2018	Ting-Chun Wang Ming-Yu Liu Jun-Yan Zhu Guilin Liu Andrew Tao Jan Kautz Bryan Catanzaro	1
+	Instance Normalization: The Missing Ingredient for Fast Stylization	2016	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	1
+	Image-to-Image Translation with Conditional Adversarial Networks	2016	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	1
+	DeepBach: a Steerable Model for Bach Chorales Generation	2016	Gaëtan Hadjeres François Pachet Frank Nielsen	1
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	1
+	Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders	2017	Jesse Engel Cinjon Resnick Adam P. Roberts Sander Dieleman Mohammad Norouzi Douglas Eck Karen Simonyan	1
+	A Neural Representation of Sketch Drawings	2017	David Ha Douglas Eck	1
+	Conditional Image Generation with PixelCNN Decoders	2016	Aäron van den Oord Nal Kalchbrenner Oriol Vinyals Lasse Espeholt Alex Graves Koray Kavukcuoglu	1
+	A note on the evaluation of generative models	2015	Lucas Theis Aäron van den Oord Matthias Bethge	1
+	f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization	2016	Sebastian Nowozin Botond Cseke Ryota Tomioka	1
+	Deep Directed Generative Models with Energy-Based Probability Estimation	2016	Taesup Kim Yoshua Bengio	1
+ PDF Chat	XVIII.—On the Functions which are represented by the Expansions of the Interpolation-Theory	1915	E. T. Whittaker	1
+ PDF Chat	Generative Adversarial Networks	2022	Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio	1
+	PacGAN: The power of two samples in generative adversarial networks	2017	Zinan Lin Ashish Khetan Giulia Fanti Sewoong Oh	1
+	Adversarially Learned Inference	2016	Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville	1
+	MINE: Mutual Information Neural Estimation.	2018	Ishmael Belghazi Sai Rajeswar Aristide Baratin R Devon Hjelm Aaron Courville	1
+	Block-Sparse Recurrent Neural Networks	2017	Sharan Narang Eric Undersander Gregory Diamos	1
+	Efficient GAN-Based Anomaly Detection	2018	Houssam Zenati Chuan-Sheng Foo Bruno Lecouat Gaurav Manek Vijay Chandrasekhar	1
+	Efficient Neural Audio Synthesis	2018	Nal Kalchbrenner Erich Elsen Karen Simonyan Seb Noury Norman Casagrande Edward Lockhart Florian Stimberg Aäron van den Oord Sander Dieleman Koray Kavukcuoglu	1
+	A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music	2018	Adam P. Roberts Jesse Engel Colin Raffel Curtis Hawthorne Douglas Eck	1
+	Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning	2017	Wei Ping Kainan Peng Andrew Gibiansky Sercan Ö. Arık Ajay Kannan Sharan Narang Jonathan Raiman J. J. Miller	1
+	Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking	2018	Zhe Jia Marco Maggioni Benjamin Staiger Daniele Paolo Scarpazza	1
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+	Progressive Growing of GANs for Improved Quality, Stability, and Variation	2017	Tero Karras Timo Aila Samuli Laine Jaakko Lehtinen	1
+	Deep Structured Energy Based Models for Anomaly Detection	2016	Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang	1
+	On the convergence of markovian stochastic algorithms with rapidly decreasing ergodicity rates	1999	Laurent Younes	1
+	Learning Independent Features with Adversarial Nets for Non-linear ICA	2018	Philémon Brakel Yoshua Bengio	1