talks

Anticipation and the Anticipatory Music Transformer.

• University of Wisconsin (Madison, WI). November 10, 2023.
• MIT (Cambridge, MA). October 30, 2023.
• Harvard (Allston, MA). October 27, 2023.
• UC San Diego (La Jolla, CA). August 8, 2023.

Distortion-free Watermarks for Language Models. Google (Mountain View, CA). July 12, 2023.

Extending the Capabilities of Generative AI: Two Vignettes. Radix Trading (Chicago, IL). June 8, 2023.

Generative Models for Controllable Content Creation.

• Clear Ventures (Palo Alto, CA). October 24, 2022.
• Meta (New York, NY). October 18, 2022.

Audio Source Separation with Deep Generative Priors. Mila Music + AI Reading Group (Quebec, Canada). August 19, 2022.

Classifier-Guided Controllable Text Generation with Diffusion-LM. Mosaic Team at AI2 (Seattle, Washington). August 3, 2022.

Generative Modeling of Classical Western Music. Stanford Artificial Intelligence Laboratory (Stanford, California). December 4, 2020.

Source Separation with Deep Generative Priors. International Conference on Machine Learning (Vienna, Austria). July 14, 2020.

Convolutional Composer Classification. International Symposium on Music Information Retrieval (Delft, The Netherlands). November 11, 2019.

Coupled Recurrent Models for Polyphonic Music Composition. International Symposium on Music Information Retrieval (Delft, The Netherlands). November 11, 2019.

Invariances and Data Augmentation for Supervised Music Transcription. IEEE International Conference on Acoustics, Speech and Signal Processing (Calgary, Canada). April 18, 2018.