Nal Kalchbrenner

50 papers A* 10Journal 32Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting. CoRR Shreya Agrawal, Mohammed Alewi Hassen, Emmanuel Asiedu Brempong, Boris Babenko, Fred Zyda, Olivia Graham, Di Li, Samier Merchant, Santiago Hincapie Potes, Tyler Russell, Danny Cheresnick, Aditya Prakash Kakkirala, Stephan Rasp, Avinatan Hassidim, Yossi Matias, Nal Kalchbrenner, Pramod Gupta, Jason Hickey, Aaron Bell
2023	J	`jnl`	Deep Learning for Day Forecasts from Sparse Observations. CoRR Marcin Andrychowicz, Lasse Espeholt, Di Li, Samier Merchant, Alex Merose, Fred Zyda, Shreya Agrawal, Nal Kalchbrenner
2023	J	`jnl`	Stacking Diverse Architectures to Improve Machine Translation. Trans. Mach. Learn. Res. Andrea Schioppa, Nal Kalchbrenner
2022	J	`jnl`	Deep Learning-based Text Classification: A Comprehensive Review. ACM Comput. Surv. Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao
2022	J	`jnl`	Do better ImageNet classifiers assess perceptual similarity better? Trans. Mach. Learn. Res. Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin Dogus Cubuk
2022	J	`jnl`	On the surprising tradeoff between ImageNet accuracy and perceptual similarity. CoRR Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin D. Cubuk
2021	A*	`conf`	Colorization Transformer. ICLR Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner
2021	J	`jnl`	Colorization Transformer. CoRR Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner
2021	J	`jnl`	Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent. CoRR Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi
2021	J	`jnl`	Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks. CoRR Lasse Espeholt, Shreya Agrawal, Casper Kaae Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner
2021	J	`jnl`	Toward Causal Representation Learning. Proc. IEEE Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio
2021	J	`jnl`	Towards Causal Representation Learning. CoRR Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio
2020	A*	`conf`	A Spectral Energy Distance for Parallel Speech Synthesis. NeurIPS Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner
2020	J	`jnl`	A Spectral Energy Distance for Parallel Speech Synthesis. CoRR Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner
2020	J	`jnl`	Deep Learning Based Text Classification: A Comprehensive Review. CoRR Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao
2020	J	`jnl`	MetNet: A Neural Weather Model for Precipitation Forecasting. CoRR Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner
2019	J	`jnl`	Axial Attention in Multidimensional Transformers. CoRR Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, Tim Salimans
2019	J	`jnl`	Bayesian Inference for Large Scale Image Classification. CoRR Jonathan Heek, Nal Kalchbrenner
2019	—	`conf`	Generating High fidelity Images with subscale pixel Networks and Multidimensional Upscaling. ICLR Jacob Menick, Nal Kalchbrenner
2018	A*	`conf`	Efficient Neural Audio Synthesis. ICML Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
2018	J	`jnl`	Efficient Neural Audio Synthesis. CoRR Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
2018	J	`jnl`	Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling. CoRR Jacob Menick, Nal Kalchbrenner
2018	A*	`conf`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis
2018	—	`conf`	Tensor2Tensor for Neural Machine Translation. AMTA (1) Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit
2018	J	`jnl`	Tensor2Tensor for Neural Machine Translation. CoRR Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit
2017	—	`—`	Encoder-decoder neural networks. Nal Kalchbrenner
2017	A*	`conf`	Parallel Multiscale Autoregressive Density Estimation. ICML Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas
2017	J	`jnl`	Parallel Multiscale Autoregressive Density Estimation. CoRR Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Dan Belov, Nando de Freitas
2017	J	`jnl`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis
2017	A*	`conf`	Video Pixel Networks. ICML Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	A*	`conf`	Associative Long Short-Term Memory. ICML Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves
2016	J	`jnl`	Associative Long Short-Term Memory. CoRR Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves
2016	—	`conf`	Conditional Image Generation with PixelCNN Decoders. NIPS Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves
2016	J	`jnl`	Conditional Image Generation with PixelCNN Decoders. CoRR Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu
2016	A*	`conf`	Grid Long Short-Term Memory. ICLR (Poster) Nal Kalchbrenner, Ivo Danihelka, Alex Graves
2016	J	`jnl`	Mastering the game of Go with deep neural networks and tree search. Nat. David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Vedavyas Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy P. Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis
2016	J	`jnl`	Neural Machine Translation in Linear Time. CoRR Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu
2016	A*	`conf`	Pixel Recurrent Neural Networks. ICML Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
2016	J	`jnl`	Pixel Recurrent Neural Networks. CoRR Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
2016	J	`jnl`	Video Pixel Networks. CoRR Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	—	`conf`	WaveNet: A Generative Model for Raw Audio. SSW Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2016	J	`jnl`	WaveNet: A Generative Model for Raw Audio. CoRR Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2014	—	`conf`	A Convolutional Neural Network for Modelling Sentences. ACL (1) Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom
2014	J	`jnl`	A Convolutional Neural Network for Modelling Sentences. CoRR Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom
2014	J	`jnl`	Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network. CoRR Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas
2014	—	`conf`	Resolving Lexical Ambiguity in Tensor Regression Models of Meaning. ACL (2) Dimitri Kartsaklis, Nal Kalchbrenner, Mehrnoosh Sadrzadeh
2014	J	`jnl`	Resolving Lexical Ambiguity in Tensor Regression Models of Meaning. CoRR Dimitri Kartsaklis, Nal Kalchbrenner, Mehrnoosh Sadrzadeh
2013	A*	`conf`	Recurrent Continuous Translation Models. EMNLP Nal Kalchbrenner, Phil Blunsom
2013	—	`conf`	Recurrent Convolutional Neural Networks for Discourse Compositionality. CVSM@ACL Nal Kalchbrenner, Phil Blunsom
2013	J	`jnl`	Recurrent Convolutional Neural Networks for Discourse Compositionality. CoRR Nal Kalchbrenner, Phil Blunsom