Meter as Mechanism: A Neural Network Model that Learns Metrical Patterns. - Michael Gasser; Douglas Eck; Robert F. Port (Connect. Sci., 1999)

A Network of Relaxation Oscillators that Finds Downbeats in Rhythms. - Douglas Eck (ICANN, 2001)

Applying LSTM to Time Series Predictable Through Time-Window Approaches. - Felix A. Gers; Douglas Eck; Jürgen Schmidhuber (WIRN, 2001)

DEKF-LSTM. - Felix A. Gers; Juan Antonio Pérez-Ortiz; Douglas Eck; Jürgen Schmidhuber (ESANN, 2002)

Learning the Long-Term Structure of the Blues. - Douglas Eck; Jürgen Schmidhuber (ICANN, 2002)

Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. - Felix A. Gers; Juan Antonio Pérez-Ortiz; Douglas Eck; Jürgen Schmidhuber (ICANN, 2002)

Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters. - Juan Antonio Pérez-Ortiz; Jürgen Schmidhuber; Felix A. Gers; Douglas Eck (ICANN, 2002)

Finding temporal structure in music: blues improvisation with LSTM recurrent networks. - Douglas Eck; Jürgen Schmidhuber (NNSP, 2002)

Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM. - Jürgen Schmidhuber; Felix A. Gers; Douglas Eck (Neural Comput., 2002)

Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. - Juan Antonio Pérez-Ortiz; Felix A. Gers; Douglas Eck; Jürgen Schmidhuber (Neural Networks, 2003)

Biologically Plausible Speech Recognition with LSTM Neural Nets. - Alex Graves; Douglas Eck; Nicole Beringer; Jürgen Schmidhuber (BioADIT, 2004)

Geometry in sound: a speech/Music audio Classifier Inspired by an Image Classifier. - Norman Casagrande; Douglas Eck; Balázs Kégl (ICMC, 2005)

A graphical model for chord progressions embedded in a psychoacoustic space. - Jean-François Paiement; Douglas Eck; Samy Bengio; David Barber (ICML, 2005)

Frame-Level Audio Feature Extraction Using AdaBoost. - Norman Casagrande; Douglas Eck; Balázs Kégl (ISMIR, 2005)

Finding Meter in Music Using An Autocorrelation Phase Matrix and Shannon Entropy. - Douglas Eck; Norman Casagrande (ISMIR, 2005)

A Probabilistic Model for Chord Progressions. - Jean-François Paiement; Douglas Eck; Samy Bengio (ISMIR, 2005)

Probabilistic Melodic Harmonization. - Jean-François Paiement; Douglas Eck; Samy Bengio (Canadian AI, 2006)

Predicting genre labels for artist using FreeDB. - James Bergstra; Alexandre Lacoste; Douglas Eck (ISMIR, 2006)

Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal. - Herbert Jaeger; Douglas Eck (ZiF Workshop, 2006)

Aggregate features and ADABOOSTfor music classification. - James Bergstra; Norman Casagrande; Dumitru Erhan; Douglas Eck; Balázs Kégl (Mach. Learn., 2006)

Beat Tracking using an Autocorrelation Phase Matrix. - Douglas Eck (ICASSP (4), 2007)

Autotagging Music Using Supervised Machine Learning. - Douglas Eck; Thierry Bertin-Mahieux; Paul Lamere (ISMIR, 2007)

Using 3D Visualizations to Explore and Discover Music. - Paul Lamere; Douglas Eck (ISMIR, 2007)

Automatic Generation of Social Tags for Music Recommendation. - Douglas Eck; Paul Lamere; Thierry Bertin-Mahieux; Stephen J. Green (NIPS, 2007)

A Supervised Classification Algorithm for Note Onset Detection. - Alexandre Lacoste; Douglas Eck (EURASIP J. Adv. Signal Process., 2007)

A distance model for rhythms. - Jean-François Paiement; Yves Grandvalet; Samy Bengio; Douglas Eck (ICML, 2008)

On the Use of Sparce Time Relative Auditory Codes for Music. - Pierre-Antoine Manzagol; Thierry Bertin-Mahieux; Douglas Eck (ISMIR, 2008)

Workshop summary: Sparse methods for music audio. - Douglas Eck; Dan Ellis; Philippe Hamel (ICML, 2009)

Automatic Identification of Instrument Classes in Polyphonic and Poly-Instrument Audio. - Philippe Hamel; Sean Wood; Douglas Eck (ISMIR, 2009)

Steerable Playlist Generation by Learning Song Similarity from Radio Station Playlists. - François Maillet; Douglas Eck; Guillaume Desjardins; Paul Lamere (ISMIR, 2009)

An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism. - Aaron C. Courville; Douglas Eck; Yoshua Bengio (NIPS, 2009)

Towards a musical beat emphasis function. - Matthew E. P. Davies; Mark D. Plumbley; Douglas Eck (WASPAA, 2009)

Probabilistic models for melodic prediction. - Jean-François Paiement; Samy Bengio; Douglas Eck (Artif. Intell., 2009)

Scalable Genre and Tag Prediction with Spectral Covariance. - James Bergstra; Michael I. Mandel; Douglas Eck (ISMIR, 2010)

Learning Features from Music Audio with Deep Belief Networks. - Philippe Hamel; Douglas Eck (ISMIR, 2010)

Learning Tags that Vary Within a Song. - Michael I. Mandel; Douglas Eck; Yoshua Bengio (ISMIR, 2010)

Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio. - Philippe Hamel; Simon Lemieux; Yoshua Bengio; Douglas Eck (ISMIR, 2011)

1st international ACM workshop on music information retrieval with user-centered and multimodal strategies (MIRUM). - Cynthia C. S. Liem; Meinard Müller; Douglas Eck; George Tzanetakis (ACM Multimedia, 2011)

The need for music information retrieval with user-centered and multimodal strategies. - Cynthia C. S. Liem; Meinard Müller; Douglas Eck; George Tzanetakis; Alan Hanjalic (MIRUM, 2011)

Contextual tag inference. - Michael I. Mandel; Razvan Pascanu; Douglas Eck; Yoshua Bengio; Luca Maria Aiello; Rossano Schifanella; Filippo Menczer (ACM Trans. Multim. Comput. Commun. Appl., 2011)

Building Musically-relevant Audio Features through Multiple Timescale Representations. - Philippe Hamel; Yoshua Bengio; Douglas Eck (ISMIR, 2012)

Machine Learning Methods for Music Discovery and Recommendation. - Douglas Eck (ECML/PKDD (1), 2012)

Deep Music: Towards Musical Dialogue. - Mason Bretan; Sageev Oore; Jesse H. Engel; Douglas Eck; Larry P. Heck (AAAI, 2017)

Tuning Recurrent Neural Networks with Reinforcement Learning. - Natasha Jaques; Shixiang Gu; Richard E. Turner; Douglas Eck (ICLR (Workshop), 2017)

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. - Jesse H. Engel; Cinjon Resnick; Adam Roberts; Sander Dieleman; Mohammad Norouzi 002; Douglas Eck; Karen Simonyan (ICML, 2017)

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. - Natasha Jaques; Shixiang Gu; Dzmitry Bahdanau; José Miguel Hernández-Lobato; Richard E. Turner; Douglas Eck (ICML, 2017)

Online and Linear-Time Attention by Enforcing Monotonic Alignments. - Colin Raffel; Minh-Thang Luong; Peter J. Liu; Ron J. Weiss; Douglas Eck (ICML, 2017)

Counterpoint by Convolution. - Cheng-Zhi Anna Huang; Tim Cooijmans; Adam Roberts; Aaron C. Courville; Douglas Eck (ISMIR, 2017)

Learning and Evaluating Musical Features with Deep Autoencoders. - Mason Bretan; Sageev Oore; Douglas Eck; Larry P. Heck (CoRR, 2017)

Improving image generative models with human interactions. - Andrew Kyle Lampinen; David So; Douglas Eck; Fred Bertsch (CoRR, 2017)

A Neural Representation of Sketch Drawings. - David Ha; Douglas Eck (ICLR (Poster), 2018)

Towards Mixed-initiative generation of multi-channel sequential structure. - Cheng-Zhi Anna Huang; Sherol Chen; Mark J. Nelson; Douglas Eck (ICLR (Workshop), 2018)

Learning via social awareness: improving sketch representations with facial feedback. - Natasha Jaques; Jesse H. Engel; David Ha; Fred Bertsch; Rosalind W. Picard; Douglas Eck (ICLR (Workshop), 2018)

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. - Adam Roberts; Jesse H. Engel; Colin Raffel; Curtis Hawthorne; Douglas Eck (ICML, 2018)

Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback. - Natasha Jaques; Jennifer McCleary; Jesse H. Engel; David Ha; Fred Bertsch; Douglas Eck; Rosalind W. Picard (AffComp@IJCAI, 2018)

Onsets and Frames: Dual-Objective Piano Transcription. - Curtis Hawthorne; Erich Elsen; Jialin Song; Adam Roberts; Ian Simon; Colin Raffel; Jesse H. Engel; Sageev Oore; Douglas Eck (ISMIR, 2018)

Learning Latent Representations of Music to Generate Interactive Musical Palettes. - Adam Roberts; Jesse H. Engel; Sageev Oore; Douglas Eck (IUI Workshops, 2018)

Learning a Latent Space of Multitrack Measures. - Ian Simon; Adam Roberts; Colin Raffel; Jesse H. Engel; Curtis Hawthorne; Douglas Eck (CoRR, 2018)

An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation. - Cheng-Zhi Anna Huang; Ashish Vaswani; Jakob Uszkoreit; Noam Shazeer; Curtis Hawthorne; Andrew M. Dai; Matthew D. Hoffman; Douglas Eck (CoRR, 2018)

Identifying the Intersections: User Experience + Research Scientist Collaboration in a Generative Machine Learning Interface. - Claire Kayacik; Sherol Chen; Signe Noerly; Jess Holbrook; Adam Roberts; Douglas Eck (CHI Extended Abstracts, 2019)

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. - Curtis Hawthorne; Andriy Stasyuk; Adam Roberts; Ian Simon; Cheng-Zhi Anna Huang; Sander Dieleman; Erich Elsen; Jesse H. Engel; Douglas Eck (ICLR, 2019)

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; Douglas Eck (ICLR (Poster), 2019)

A Learned Representation for Scalable Vector Graphics. - Raphael Gontijo Lopes; David Ha; Douglas Eck; Jonathon Shlens (DGS@ICLR, 2019)

Learning to Groove with Inverse Sequence Transformations. - Jon Gillick; Adam Roberts; Jesse H. Engel; Douglas Eck; David Bamman (ICML, 2019)

Human and Automatic Detection of Generated Text. - Daphne Ippolito; Daniel Duckworth; Chris Callison-Burch; Douglas Eck (CoRR, 2019)

Automatic Detection of Generated Text is Easiest when Humans are Fooled. - Daphne Ippolito; Daniel Duckworth; Chris Callison-Burch; Douglas Eck (ACL, 2020)

Toward Better Storylines with Sentence-Level Language Models. - Daphne Ippolito; David Grangier; Douglas Eck; Chris Callison-Burch (ACL, 2020)

Multi-agent Social Reinforcement Learning Improves Generalization. - Kamal Ndousse; Douglas Eck; Sergey Levine; Natasha Jaques (CoRR, 2020)

This time with feeling: learning expressive musical performance. - Sageev Oore; Ian Simon; Sander Dieleman; Douglas Eck; Karen Simonyan (Neural Comput. Appl., 2020)

Emergent Social Learning via Multi-agent Reinforcement Learning. - Kamal Ndousse; Douglas Eck; Sergey Levine; Natasha Jaques (ICML, 2021)

Joint Attention for Multi-Agent Coordination and Social Learning. - Dennis Lee 003; Natasha Jaques; J. Chase Kew; Douglas Eck; Dale Schuurmans; Aleksandra Faust (CoRR, 2021)

Deduplicating Training Data Makes Language Models Better. - Katherine Lee; Daphne Ippolito; Andrew Nystrom; Chiyuan Zhang; Douglas Eck; Chris Callison-Burch; Nicholas Carlini (ACL (1), 2022)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. - Izzeddin Gur; Hiroki Furuta; Austin V. Huang; Mustafa Safdari; Yutaka Matsuo; Douglas Eck; Aleksandra Faust (ICLR, 2024)