Nal Kalchbrenner

According to our database, Nal Kalchbrenner authored at least 34 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Stacking Diverse Architectures to Improve Machine Translation.

Andrea Schioppa, Nal Kalchbrenner

Trans. Mach. Learn. Res., 2023

Deep Learning for Day Forecasts from Sparse Observations.

Marcin Andrychowicz, Lasse Espeholt, Di Li, Samier Merchant, Alex Merose, Fred Zyda, Shreya Agrawal, Nal Kalchbrenner

CoRR, 2023

2022

Do better ImageNet classifiers assess perceptual similarity better?

Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin Dogus Cubuk

Trans. Mach. Learn. Res., 2022

Deep Learning-based Text Classification: A Comprehensive Review.

Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao

ACM Comput. Surv., 2022

On the surprising tradeoff between ImageNet accuracy and perceptual similarity.

Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin D. Cubuk

CoRR, 2022

2021

Toward Causal Representation Learning.

Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio

Proc. IEEE, 2021

Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks.

Lasse Espeholt, Shreya Agrawal, Casper Kaae Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner

CoRR, 2021

Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent.

Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi

CoRR, 2021

Towards Causal Representation Learning.

Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio

CoRR, 2021

Colorization Transformer.

Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

MetNet: A Neural Weather Model for Precipitation Forecasting.

Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner

CoRR, 2020

A Spectral Energy Distance for Parallel Speech Synthesis.

Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Axial Attention in Multidimensional Transformers.

Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, Tim Salimans

CoRR, 2019

Bayesian Inference for Large Scale Image Classification.

Jonathan Heek, Nal Kalchbrenner

CoRR, 2019

Generating High fidelity Images with subscale pixel Networks and Multidimensional Upscaling.

Jacob Menick, Nal Kalchbrenner

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Parallel WaveNet: Fast High-Fidelity Speech Synthesis.

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

Proceedings of the 35th International Conference on Machine Learning, 2018

Efficient Neural Audio Synthesis.

Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu

Proceedings of the 35th International Conference on Machine Learning, 2018

Tensor2Tensor for Neural Machine Translation.

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

Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

2017

Encoder-decoder neural networks.

Nal Kalchbrenner

PhD thesis, 2017

Parallel Multiscale Autoregressive Density Estimation.

Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Dan Belov, Nando de Freitas

CoRR, 2017

Parallel Multiscale Autoregressive Density Estimation.

Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas

Proceedings of the 34th International Conference on Machine Learning, 2017

Video Pixel Networks.

Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Mastering the game of Go with deep neural networks and tree search.

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

Nat., 2016

Neural Machine Translation in Linear Time.

Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu

CoRR, 2016

Grid Long Short-Term Memory.

Nal Kalchbrenner, Ivo Danihelka, Alex Graves

Proceedings of the 4th International Conference on Learning Representations, 2016

WaveNet: A Generative Model for Raw Audio.

Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu

Proceedings of the 9th ISCA Speech Synthesis Workshop, 2016

Conditional Image Generation with PixelCNN Decoders.

Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Pixel Recurrent Neural Networks.

Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu

Proceedings of the 33nd International Conference on Machine Learning, 2016

Associative Long Short-Term Memory.

Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network.

Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas

CoRR, 2014

Resolving Lexical Ambiguity in Tensor Regression Models of Meaning.

Dimitri Kartsaklis, Nal Kalchbrenner, Mehrnoosh Sadrzadeh

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

A Convolutional Neural Network for Modelling Sentences.

Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Recurrent Continuous Translation Models.

Nal Kalchbrenner, Phil Blunsom

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Recurrent Convolutional Neural Networks for Discourse Compositionality.

Nal Kalchbrenner, Phil Blunsom

Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013