Jesse Engel
14 papers · 2016–2025 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (17) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Keyword Champion
(3)
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Keyword Pioneer
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Topic Evolution
π₯
Mega-Team Β· Legion
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Century Club Β· Bronze
ποΈ
Keyword Collector
(65)
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Trend Setter
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Conference Pioneer
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Keywords
generative model
(3)
audio synthesis
(3)
music generation
(3)
latent representation
(2)
variational autoencoder
(2)
neural audio synthesis
(2)
conditional generation
(1)
speech recognition
(1)
transfer learning
(1)
autoregressive model
(1)
sequence-to-sequence learning
(1)
batch processing
(1)
recurrent neural network
(1)
deep neural network
(1)
text prompt
(1)
gradient-based optimization
(1)
end-to-end learning
(1)
generative adversarial network
(1)
variational information bottleneck
(1)
hierarchical model
(1)
Papers
Live Music Models
NeurIPS 2025
General-purpose, long-context autoregressive modeling with Perceiver AR
ICML 2022
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
ICLR 2022
MT3: Multi-Task Multitrack Music Transcription
ICLR 2022
DDSP: Differentiable Digital Signal Processing
ICLR 2020
Encoding Musical Style with Transformer Autoencoders
ICML 2020
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
ICLR 2019
GANSynth: Adversarial Neural Audio Synthesis
ICLR 2019
Learning to Groove with Inverse Sequence Transformations
ICML 2019
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
ICML 2018
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
ICLR 2018
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
ICML 2017
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
ICML 2016
Persistent RNNs: Stashing Recurrent Weights On-Chip
ICML 2016