Emilien Dupont

According to our database1, Emilien Dupont authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mathematical discoveries from program search with large language models.
Nat., January, 2024

C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation.
CoRR, 2023

Deep Stochastic Processes via Functional Markov Transition Operators.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
COIN++: Neural Compression Across Modalities.
Trans. Mach. Learn. Res., 2022

COIN++: Data Agnostic Neural Compression.
CoRR, 2022

From data to functa: Your data point is a function and you should treat it like one.
CoRR, 2022

From data to functa: Your data point is a function and you can treat it like one.
Proceedings of the International Conference on Machine Learning, 2022

Generative Models as Distributions of Functions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
COIN: COmpression with Implicit Neural representations.
CoRR, 2021

LieTransformer: Equivariant Self-Attention for Lie Groups.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
STEER : Simple Temporal Regularization For Neural ODEs.
CoRR, 2020

Equivariant Neural Rendering.
CoRR, 2020

STEER : Simple Temporal Regularization For Neural ODE.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Equivariant Neural Rendering.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Augmented Neural ODEs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Probabilistic Semantic Inpainting with Pixel Constrained CNNs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Joint-VAE: Learning Disentangled Joint Continuous and Discrete Representations.
CoRR, 2018

Learning Disentangled Joint Continuous and Discrete Representations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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