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We introduce anticipation: a method for constructing a controllable generative model of a temporal point process (the event process) conditioned asynchronously on realizations of a second, correlated process (the control process).
Extrapolation, interpolation, and smoothing of stationary time series: with engineering applications
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Standard midi files, 1988
International MIDI Association · 1988
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Probability and Measure (3rd Edition)
Patrick Billingsley · 1995
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Object recognition with gradient-based learning
David A Forsyth, Joseph L Mundy, Vito di Gesú, Roberto Cipolla, Yann LeCun, Patrick Haffner, Léon Bottou, and Yoshua Bengio · 1999
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Control of asynchronous dynamical systems with rate constraints on events
Arash Hassibi, Stephen P Boyd, and Jonathan P How · 1999
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An introduction to the theory of point processes: volume II: general theory and structure
Daryl J Daley and David Vere-Jones · 2007
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MySong: automatic accompaniment generation for vocal melodies
Ian Simon, Dan Morris, and Sumit Basu · 2008
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Iranian traditional music dastgah classification
Sajjad Abdoli · 2011
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The case for computer chess engines in the classroom
Robert Levinson · 2011
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Modeling temporal dependencies in high-dimensional sequences: application to polyphonic music generation and transcription
Nicolas Boulanger-Lewandowski, Yoshua Bengio, and Pascal Vincent · 2012
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Automatic transcription of turkish makam music
Emmanouil Benetos and Andre Holzapfel · 2013
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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A deep and tractable density estimator
Benigno Uria, Iain Murray, and Hugo Larochelle · 2014
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Authors Guild, inc. v. Google, inc
2d Circuit · 2015
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Time-sensitive recommendation from recurrent user activities
Nan Du, Yichen Wang, Niao He, Jimeng Sun, and Le Song · 2015
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Recurrent marked temporal point processes: Embedding event history to vector
Nan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, and Le Song · 2016
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Dan Hendrycks and Kevin Gimpel · 2016
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ChordRipple: Recommending chords to help novice composers go beyond the ordinary
Cheng-Zhi Anna Huang, David Duvenaud, and Krzysztof Z Gajos · 2016
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Learning-based methods for comparing sequences, with applications to audio-to-midi alignment and matching
Colin Raffel · 2016
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COEVOLVE: A joint point process model for information diffusion and network evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, and Le Song · 2017
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DeepBach: a steerable model for bach chorales generation
Gaëtan Hadjeres, François Pachet, and Frank Nielsen · 2017
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Counterpoint by convolution
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron Courville, and Douglas Eck · 2017
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SGDR: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
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The neural hawkes process: A neurally self-modulating multivariate point process
Hongyuan Mei and Jason M Eisner · 2017
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PixelCNN++: Improving the pixelcnn with discretized logistic mixture likelihood and other modifications
Tim Salimans, Andrej Karpathy, Xi Chen, and Diederik P Kingma · 2017
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Artificial intelligence’s fair use crisis
Benjamin LW Sobel · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Artificial intelligence, automation, and work
Daron Acemoglu and Pascual Restrepo · 2018
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JAX: composable transformations of Python+NumPy programs, 2018
James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang · 2018
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Musegan: Multi-track sequential generative adversarial networks for symbolic music generation and accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, and Yi-Hsuan Yang · 2018
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Music transformer: Generating music with long-term structure
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M Dai, Matthew D Hoffman, Monica Dinculescu, and Douglas Eck · 2018
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Infilling piano performances
Daphne Ippolito, Anna Huang, Curtis Hawthorne, and Douglas Eck · 2018
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Neural particle smoothing for sampling from conditional sequence models
Chu-Cheng Lin and Jason Eisner · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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I lead, you help but only with enough details: Understanding user experience of co-creation with artificial intelligence
Changhoon Oh, Jungwoo Song, Jinhan Choi, Seonghyeon Kim, Sungwoo Lee, and Bongwon Suh · 2018
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Hawkes process inference with missing data
Christian Shelton, Zhen Qin, and Chandini Shetty · 2018
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Precision of sung notes in carnatic music
Venkata Subramanian Viraraghavan, Rangarajan Aravind, and Hema A Murthy · 2018
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XiaoIce Band: A melody and arrangement generation framework for pop music
Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, and Enhong Chen · 2018
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Generating long sequences with sparse transformers
Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever · 2019
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LakhNES: Improving multi-instrumental music generation with cross-domain pre-training
Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W Cottrell, and Julian McAuley · 2019
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Openwebtext corpus, 2019
Aaron Gokaslan and Vanya Cohen · 2019
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The Bach Doodle: Approachable music composition with machine learning at scale
Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, and Jacob Howcroft · 2019
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A survey on recent approaches for natural language processing in low-resource scenarios
Michael A Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, and Dietrich Klakow · 2021
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Compound word transformer: Learning to compose full-song music over dynamic directed hypergraphs
Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, and Yi-Hsuan Yang · 2021
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Reconsidering quantization in MIR
Jordan Lenchitz · 2021
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Copyright throughout a creative ai pipeline
Sancho McCann · 2021
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Symbolic music generation with diffusion models
Gautam Mittal, Jesse Engel, Curtis Hawthorne, and Ian Simon · 2021
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Shortformer: Better language modeling using shorter inputs
Ofir Press, Noah A Smith, and Mike Lewis · 2021
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Imputing missing events in continuous-time event streams
Hongyuan Mei, Guanghui Qin, and Jason Eisner · 2019
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Model cards for model reporting
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru · 2019
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Fully neural network based model for general temporal point processes
Takahiro Omi, Kazuyuki Aihara, et al · 2019
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Learning to traverse latent spaces for musical score inpainting
Ashis Pati, Alexander Lerch, and Gaëtan Hadjeres · 2019
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Musenet, 2019
Christine Payne · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Automation accuracy is good, but high controllability may be better
Quentin Roy, Futian Zhang, and Daniel Vogel · 2019
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Scaling language models: Methods, analysis & insights from training gopher
Jack W Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, et al · 2021
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Musebert: Pre-training music representation for music understanding and controllable generation
Ziyu Wang and Gus Xia · 2021
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Automatic melody harmonization with triad chords: A comparative study
Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama, Tetsuro Kitahara, Benjamin Genchel, Hao-Min Liu, Hao-Wen Dong, Yian Chen, Terence Leong, and Yi-Hsuan Yang · 2021
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MusicBERT: Symbolic music understanding with large-scale pre-training
Mingliang Zeng, Xu Tan, Rui Wang, Zeqian Ju, Tao Qin, and Tie-Yan Liu · 2021
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CM3: A causal masked multimodal model of the internet
Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, et al · 2022
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Efficient training of language models to fill in the middle
Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, John Schulman, Christine McLeavey, Jerry Tworek, and Mark Chen · 2022
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FlashAttention: Fast and memory-efficient exact attention with IO-awareness
Tri Dao, Dan Fu, Stefano Ermon, Atri Rudra, and Christopher Ré · 2022
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GLM: General language model pretraining with autoregressive blank infilling
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang · 2022
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Riffusion - Stable diffusion for real-time music generation, 2022
Seth Forsgren and Hayk Martiros · 2022
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Efficiently modeling long sequences with structured state spaces
Albert Gu, Karan Goel, and Christopher Re · 2022
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A domain-knowledge-inspired music embedding space and a novel attention mechanism for symbolic music modeling
Zixun Guo, Jaeyong Kang, and Dorien Herremans · 2022
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General-purpose, long-context autoregressive modeling with Perceiver AR
Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, et al · 2022
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Training compute-optimal large language models
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CoAuthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities
Mina Lee, Percy Liang, and Qian Yang · 2022
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Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
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Mix and match: Learning-free controllable text generationusing energy language models
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Train short, test long: Attention with linear biases enables input length extrapolation
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Hierarchical text-conditional image generation with clip latents
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Translating melody to chord: Structured and flexible harmonization of melody with transformer
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LAION-5B: An open large-scale dataset for training next generation image-text models
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Theme transformer: Symbolic music generation with theme-conditioned transformer
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MusicLM: Generating music from text
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