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02/22/2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Since their introduction, diffusion models have quickly become the preva...
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11/28/2022
Continuous diffusion for categorical data
Diffusion models have quickly become the go-to paradigm for generative m...
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11/08/2022
Self-conditioned Embedding Diffusion for Text Generation
Can continuous diffusion models bring the same performance breakthrough ...
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10/26/2022
Categorical SDEs with Simplex Diffusion
Diffusion models typically operate in the standard framework of generati...
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02/15/2022
General-purpose, long-context autoregressive modeling with Perceiver AR
Real-world data is high-dimensional: a book, image, or musical performan...
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11/23/2021
Towards Learning Universal Audio Representations
The ability to learn universal audio representations that can solve dive...
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03/10/2021
Variable-rate discrete representation learning
Semantically meaningful information content in perceptual signals is usu...
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03/05/2021
Generating Images with Sparse Representations
The high dimensionality of images presents architecture and sampling-eff...
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02/09/2021
A Deep Learning Approach for Characterizing Major Galaxy Mergers
Fine-grained estimation of galaxy merger stages from observations is a k...
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11/14/2020
Towards transformation-resilient provenance detection of digital media
Advancements in deep generative models have made it possible to synthesi...
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06/29/2020
Self-Supervised MultiModal Versatile Networks
Videos are a rich source of multi-modal supervision. In this work, we le...
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06/05/2020
End-to-End Adversarial Text-to-Speech
Modern text-to-speech synthesis pipelines typically involve multiple pro...
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03/09/2020
Transformation-based Adversarial Video Prediction on Large-Scale Data
Recent breakthroughs in adversarial generative modeling have led to mode...
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09/25/2019
High Fidelity Speech Synthesis with Adversarial Networks
Generative adversarial networks have seen rapid development in recent ye...
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03/06/2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
Autoregressive generative models of images tend to be biased towards cap...
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10/29/2018
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Generating musical audio directly with neural networks is notoriously di...
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10/11/2018
Piano Genie
We present Piano Genie, an intelligent controller which allows non-music...
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08/10/2018
This Time with Feeling: Learning Expressive Musical Performance
Music generation has generally been focused on either creating scores or...
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06/26/2018
The challenge of realistic music generation: modelling raw audio at scale
Realistic music generation is a challenging task. When building generati...
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02/23/2018
Efficient Neural Audio Synthesis
Sequential models achieve state-of-the-art results in audio, visual and ...
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11/28/2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
The recently-developed WaveNet architecture is the current state of the ...
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04/05/2017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Generative models in vision have seen rapid progress due to algorithmic ...
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09/12/2016
WaveNet: A Generative Model for Raw Audio
This paper introduces WaveNet, a deep neural network for generating raw ...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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02/08/2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Many classes of images exhibit rotational symmetry. Convolutional neural...
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06/05/2015
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Recent studies have demonstrated the power of recurrent neural networks ...
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03/24/2015
