8 citations · 11 across the 5 of their papers we have counts for
5 papers
Towards Unified Benchmark and Models for Multi-Modal Perceptual Metrics
Sara Ghazanfari, Siddharth Garg, Nicolas Flammarion +3
Human perception of similarity across uni- and multimodal inputs is highly complex, making it challenging to develop automated metrics that accurately mimic it. General purpose vis…
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks
Hristo Papazov, Scott Pesme, Nicolas Flammarion
In this work, we investigate the effect of momentum on the optimisation trajectory of gradient descent. We leverage a continuous-time approach in the analysis of momentum gradient…
A Modern Look at the Relationship between Sharpness and Generalization
Maksym Andriushchenko, Francesco Croce, Maximilian Müller +2
Sharpness of minima is a promising quantity that can correlate with generalization in deep networks and, when optimized during training, can improve generalization. However, standa…
Robust Discriminative Clustering with Sparse Regularizers
Nicolas Flammarion, Balamurugan Palaniappan, Francis Bach
Clustering high-dimensional data often requires some form of dimensionality reduction, where clustered variables are separated from "noise-looking" variables. We cast this problem…
Optimal Rates of Statistical Seriation
Nicolas Flammarion, Cheng Mao, Philippe Rigollet
Given a matrix the seriation problem consists in permuting its rows in such way that all its columns have the same shape, for example, they are monotone increasing. We propose a st…