Giambattista Parascandolo

According to our database1, Giambattista Parascandolo authored at least 22 papers between 2016 and 2023.

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Bibliography

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Predicting Ordinary Differential Equations with Transformers.
Proceedings of the International Conference on Machine Learning, 2023

2022
Discovering ordinary differential equations that govern time-series.
CoRR, 2022

Explanatory Learning: Beyond Empiricism in Neural Networks.
CoRR, 2022

2021
Deep Learning Beyond the Training Distribution.
PhD thesis, 2021

Neural Symbolic Regression that scales.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning explanations that are hard to vary.
Proceedings of the 9th International Conference on Learning Representations, 2021

A teacher-student framework to distill future trajectories.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning.
CoRR, 2020

2018
Generalization in anti-causal learning.
CoRR, 2018

Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Tempered Adversarial Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Independent Causal Mechanisms.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Low latency sound source separation using convolutional recurrent neural networks.
Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Avoiding Discrimination through Causal Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A convolutional neural network approach for acoustic scene classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Convolutional recurrent neural networks for bird audio detection.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Recurrent neural networks for polyphonic sound event detection in real life recordings.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Low-latency sound source separation using deep neural networks.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

DCASE 2016 Acoustic Scene Classification Using Convolutional Neural Networks.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016


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