Fast Approximate Determinants Using Rational Functions.
CoRR, 2024
Scalable Spatiotemporal Prediction with Bayesian Neural Fields.
CoRR, 2024
Robust Inverse Graphics via Probabilistic Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes.
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CoRR, 2023
Sequential Monte Carlo Learning for Time Series Structure Discovery.
Proceedings of the International Conference on Machine Learning, 2023
Automatically batching control-intensive programs for modern accelerators.
Proceedings of the Third Conference on Machine Learning and Systems, 2020
Universal Sound Separation.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019
Differentiable Consistency Constraints for Improved Deep Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2019
Exploring Tradeoffs in Models for Low-Latency Speech Enhancement.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018
AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech.
CoRR, 2016