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2020 – today
- 2023
[j5]Andrea Schioppa, Nal Kalchbrenner:
Stacking Diverse Architectures to Improve Machine Translation. Trans. Mach. Learn. Res. 2023 (2023)- [i26]Marcin Andrychowicz, Lasse Espeholt, Di Li, Samier Merchant, Alex Merose, Fred Zyda, Shreya Agrawal, Nal Kalchbrenner:
Deep Learning for Day Forecasts from Sparse Observations. CoRR abs/2306.06079 (2023) - 2022
- [j4]Shervin Minaee, Nal Kalchbrenner, Erik Cambria
, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning-based Text Classification: A Comprehensive Review. ACM Comput. Surv. 54(3): 62:1-62:40 (2022) - [j3]Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin Dogus Cubuk:
Do better ImageNet classifiers assess perceptual similarity better? Trans. Mach. Learn. Res. 2022 (2022) - [i25]Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin D. Cubuk:
On the surprising tradeoff between ImageNet accuracy and perceptual similarity. CoRR abs/2203.04946 (2022) - 2021
- [j2]Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio:
Toward Causal Representation Learning. Proc. IEEE 109(5): 612-634 (2021) - [c17]Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner:
Colorization Transformer. ICLR 2021 - [i24]Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner:
Colorization Transformer. CoRR abs/2102.04432 (2021) - [i23]Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio:
Towards Causal Representation Learning. CoRR abs/2102.11107 (2021) - [i22]Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi:
Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent. CoRR abs/2106.06080 (2021) - [i21]Lasse Espeholt, Shreya Agrawal, Casper Kaae Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner:
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks. CoRR abs/2111.07470 (2021) - 2020
- [c16]Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner:
A Spectral Energy Distance for Parallel Speech Synthesis. NeurIPS 2020 - [i20]Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner:
MetNet: A Neural Weather Model for Precipitation Forecasting. CoRR abs/2003.12140 (2020) - [i19]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning Based Text Classification: A Comprehensive Review. CoRR abs/2004.03705 (2020) - [i18]Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner:
A Spectral Energy Distance for Parallel Speech Synthesis. CoRR abs/2008.01160 (2020)
2010 – 2019
- 2019
- [c15]Jacob Menick, Nal Kalchbrenner:
Generating High fidelity Images with subscale pixel Networks and Multidimensional Upscaling. ICLR 2019 - [i17]Jonathan Heek, Nal Kalchbrenner:
Bayesian Inference for Large Scale Image Classification. CoRR abs/1908.03491 (2019) - [i16]Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, Tim Salimans:
Axial Attention in Multidimensional Transformers. CoRR abs/1912.12180 (2019) - 2018
- [c14]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:
Tensor2Tensor for Neural Machine Translation. AMTA (1) 2018: 193-199 - [c13]Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu:
Efficient Neural Audio Synthesis. ICML 2018: 2415-2424 - [c12]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:
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML 2018: 3915-3923 - [i15]Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu:
Efficient Neural Audio Synthesis. CoRR abs/1802.08435 (2018) - [i14]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:
Tensor2Tensor for Neural Machine Translation. CoRR abs/1803.07416 (2018) - [i13]Jacob Menick, Nal Kalchbrenner:
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling. CoRR abs/1812.01608 (2018) - 2017
- [b1]Nal Kalchbrenner:
Encoder-decoder neural networks. University of Oxford, UK, 2017 - [c11]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. ICML 2017: 1771-1779 - [c10]Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas:
Parallel Multiscale Autoregressive Density Estimation. ICML 2017: 2912-2921 - [i12]Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Dan Belov, Nando de Freitas:
Parallel Multiscale Autoregressive Density Estimation. CoRR abs/1703.03664 (2017) - [i11]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:
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR abs/1711.10433 (2017) - 2016
- [j1]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:
Mastering the game of Go with deep neural networks and tree search. Nat. 529(7587): 484-489 (2016) - [c9]Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu:
Pixel Recurrent Neural Networks. ICML 2016: 1747-1756 - [c8]Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves:
Associative Long Short-Term Memory. ICML 2016: 1986-1994 - [c7]Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves:
Conditional Image Generation with PixelCNN Decoders. NIPS 2016: 4790-4798 - [c6]Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu:
WaveNet: A Generative Model for Raw Audio. SSW 2016: 125 - [c5]Nal Kalchbrenner, Ivo Danihelka, Alex Graves:
Grid Long Short-Term Memory. ICLR (Poster) 2016 - [i10]Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu:
Pixel Recurrent Neural Networks. CoRR abs/1601.06759 (2016) - [i9]Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves:
Associative Long Short-Term Memory. CoRR abs/1602.03032 (2016) - [i8]Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu:
Conditional Image Generation with PixelCNN Decoders. CoRR abs/1606.05328 (2016) - [i7]Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu:
WaveNet: A Generative Model for Raw Audio. CoRR abs/1609.03499 (2016) - [i6]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. CoRR abs/1610.00527 (2016) - [i5]Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu:
Neural Machine Translation in Linear Time. CoRR abs/1610.10099 (2016) - 2014
- [c4]Dimitri Kartsaklis, Nal Kalchbrenner, Mehrnoosh Sadrzadeh:
Resolving Lexical Ambiguity in Tensor Regression Models of Meaning. ACL (2) 2014: 212-217 - [c3]Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom:
A Convolutional Neural Network for Modelling Sentences. ACL (1) 2014: 655-665 - [i4]Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom:
A Convolutional Neural Network for Modelling Sentences. CoRR abs/1404.2188 (2014) - [i3]Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas:
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network. CoRR abs/1406.3830 (2014) - [i2]Dimitri Kartsaklis, Nal Kalchbrenner, Mehrnoosh Sadrzadeh:
Resolving Lexical Ambiguity in Tensor Regression Models of Meaning. CoRR abs/1408.6181 (2014) - 2013
- [c2]Nal Kalchbrenner, Phil Blunsom:
Recurrent Convolutional Neural Networks for Discourse Compositionality. CVSM@ACL 2013: 119-126 - [c1]Nal Kalchbrenner, Phil Blunsom:
Recurrent Continuous Translation Models. EMNLP 2013: 1700-1709 - [i1]Nal Kalchbrenner, Phil Blunsom:
Recurrent Convolutional Neural Networks for Discourse Compositionality. CoRR abs/1306.3584 (2013)
Coauthor Index
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