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09/07/2022
AudioLM: a Language Modeling Approach to Audio Generation
We introduce AudioLM, a framework for high-quality audio generation with...
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02/03/2022
Learning strides in convolutional neural networks
Convolutional neural networks typically contain several downsampling ope...
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01/28/2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Optimal transport tools (OTT-JAX) is a Python toolbox that can solve opt...
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05/28/2021
DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding
We introduce DIVE, an end-to-end speaker diarization algorithm. Our neur...
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03/17/2021
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Self-supervised pre-training using so-called "pretext" tasks has recentl...
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01/21/2021
LEAF: A Learnable Frontend for Audio Classification
Mel-filterbanks are fixed, engineered audio features which emulate human...
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04/26/2020
Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design
When test resources are scarce, a viable alternative to test for the pre...
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02/20/2020
Fast Differentiable Sorting and Ranking
The sorting operation is one of the most basic and commonly used buildin...
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02/20/2020
Learning with Differentiable Perturbed Optimizers
Machine learning pipelines often rely on optimization procedures to make...
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02/08/2020
Supervised Quantile Normalization for Low-rank Matrix Approximation
Low rank matrix factorization is a fundamental building block in machine...
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07/01/2019
MULEX: Disentangling Exploitation from Exploration in Deep RL
An agent learning through interactions should balance its action selecti...
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05/28/2019
