Romain Cosentino

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Surface Interpolation

Unsupervised Clustering

Convolutional Neural Network

Top Venues

IEEE Signal Process. Lett.

Artif. Intell. Medicine

Publications

Romain Cosentino, Sarath Shekkizhar
Reasoning in Large Language Models: A Geometric Perspective. CoRR (2024)
Randall Balestriero, Romain Cosentino, Sarath Shekkizhar
Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation. CoRR (2023)
Jennifer Hellar, Romain Cosentino, Mathews M. John, Allison Post, Skylar Buchan, Mehdi Razavi, Behnaam Aazhang
Manifold Approximating Graph Interpolation of Cardiac Local Activation Time. IEEE Trans. Biomed. Eng. 69 (10) (2022)
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
Spatial Transformer K-Means. CoRR (2022)
Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper
Toward a Geometrical Understanding of Self-supervised Contrastive Learning. CoRR (2022)
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
Spatial Transformer K-Means. IEEECONF (2022)
Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. CoRR (2022)
Romain Cosentino, Randall Balestriero, Richard G. Baraniuk, Behnaam Aazhang
Deep Autoencoders: From Understanding to Generalization Guarantees. MSML (2021)
Anton Banta, Romain Cosentino, Mathews John, Allison Post, Skylar Buchan, Mehdi Razavi, Behnaam Aazhang
A novel convolutional neural network for reconstructing surface electrocardiograms from intracardiac electrograms and vice versa. Artif. Intell. Medicine 118 (2021)
Jennifer Hellar, Romain Cosentino, Mathews M. John, Allison Post, Skylar Buchan, Mehdi Razavi, Behnaam Aazhang
Graph-Based Interpolation of Local Activation Time on the Cardiac Surface. ACSCC (2021)
Romain Cosentino, Randall Balestriero
Sparse Multi-Family Deep Scattering Network. CoRR (2020)
Romain Cosentino, Randall Balestriero, Richard G. Baraniuk, Behnaam Aazhang
Universal Frame Thresholding. IEEE Signal Process. Lett. 27 (2020)
Romain Cosentino, Behnaam Aazhang
Learnable Group Transform For Time-Series. ICML (2020)
Romain Cosentino, Randall Balestriero, Richard G. Baraniuk, Behnaam Aazhang
Provable Finite Data Generalization with Group Autoencoder. CoRR (2020)
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
Interpretable Image Clustering via Diffeomorphism-Aware K-Means. CoRR (2020)
Randall Balestriero, Romain Cosentino, Behnaam Aazhang, Richard G. Baraniuk
The Geometry of Deep Networks: Power Diagram Subdivision. NeurIPS (2019)
Randall Balestriero, Romain Cosentino, Behnaam Aazhang, Richard G. Baraniuk
The Geometry of Deep Networks: Power Diagram Subdivision. CoRR (2019)
Randall Balestriero, Romain Cosentino, Hervé Glotin, Richard G. Baraniuk
Spline Filters For End-to-End Deep Learning. ICML (2018)
Romain Cosentino, Randall Balestriero, Richard G. Baraniuk, Ankit B. Patel
Overcomplete Frame Thresholding for Acoustic Scene Analysis. CoRR (2017)
Romain Cosentino, Randall Balestriero, Behnaam Aazhang
Best basis selection using sparsity driven multi-family wavelet transform. GlobalSIP (2016)