Romain Cosentino

Orcid: 0000-0003-0783-9784

According to our database1, Romain Cosentino authored at least 19 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Reasoning in Large Language Models: A Geometric Perspective.
CoRR, 2024

Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation.
CoRR, 2023

2022
Manifold Approximating Graph Interpolation of Cardiac Local Activation Time.
IEEE Trans. Biomed. Eng., 2022

The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning.
CoRR, 2022

Toward a Geometrical Understanding of Self-supervised Contrastive Learning.
CoRR, 2022

Spatial Transformer K-Means.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
A novel convolutional neural network for reconstructing surface electrocardiograms from intracardiac electrograms and vice versa.
Artif. Intell. Medicine, 2021

Deep Autoencoders: From Understanding to Generalization Guarantees.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

Graph-Based Interpolation of Local Activation Time on the Cardiac Surface.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Universal Frame Thresholding.
IEEE Signal Process. Lett., 2020

Interpretable Image Clustering via Diffeomorphism-Aware K-Means.
CoRR, 2020

Sparse Multi-Family Deep Scattering Network.
CoRR, 2020

Provable Finite Data Generalization with Group Autoencoder.
CoRR, 2020

Learnable Group Transform For Time-Series.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
The Geometry of Deep Networks: Power Diagram Subdivision.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Spline Filters For End-to-End Deep Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Overcomplete Frame Thresholding for Acoustic Scene Analysis.
CoRR, 2017

2016
Best basis selection using sparsity driven multi-family wavelet transform.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016


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