Kyle Kastner
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICASSP | Audio Diffusion with Large Language Models. | Yinghui Huang, Kyle Kastner, Kartik Audhkhasi, Bhuvana Ramabhadran, Andrew Rosenberg |
| 2025 | ICASSP | Speech Re-Painting for Robust ASR. | Kyle Kastner, Gary Wang, Isaac Elias, Takaaki Saeki, Pedro Moreno Mengibar, Franoise Beaufays, Andrew Rosenberg, Bhuvana Ramabhadran |
| 2024 | ICASSP | Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data. | Takaaki Saeki, Gary Wang, Nobuyuki Morioka, Isaac Elias, Kyle Kastner, Andrew Rosenberg, Bhuvana Ramabhadran, Heiga Zen, Franoise Beaufays, Hadar Shemtov |
| 2024 | ICML | Adaptive Accompaniment with ReaLchords. | Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron C. Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang |
| 2023 | EvoMUSART | SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders. | Kyle Kastner, Tim Cooijmans, Yusong Wu, Aaron C. Courville |
| 2023 | ICASSP | Understanding Shared Speech-Text Representations. | Gary Wang, Kyle Kastner, Ankur Bapna, Zhehuai Chen, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang |
| 2022 | ICLR | MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling. | Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel |
| 2019 | ICASSP | Representation Mixing for TTS Synthesis. | Kyle Kastner, Joo Felipe Santos, Yoshua Bengio, Aaron C. Courville |
| 2017 | ICLR | Learning to Discover Sparse Graphical Models. | Eugene Belilovsky, Kyle Kastner, Gal Varoquaux, Matthew B. Blaschko |
| 2017 | ICLR | Char2Wav: End-to-End Speech Synthesis. | Jose Sotelo, Soroush Mehri, Kundan Kumar, Joo Felipe Santos, Kyle Kastner, Aaron C. Courville, Yoshua Bengio |
| 2017 | ICML | Learning to Discover Sparse Graphical Models. | Eugene Belilovsky, Kyle Kastner, Gal Varoquaux, Matthew B. Blaschko |
| 2016 | CVPR | ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. | Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville |
| 2015 | RecSys | Learning Distributed Representations from Reviews for Collaborative Filtering. | Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville |