output
20232026
most citedAnosov representations acting on homogeneous spaces: domains of discontinuity

1 citations

researchers with a paper here
collaborating institutions

11 papers

cs.LG2026

Beyond Gaussian Worlds: Latent Geometry Matters for JEPAs

Léo Nicollier, Enric Meinhardt-Llopis, Marc Pic +2

Recent Joint-Embedding Predictive Architectures (JEPAs) prevent representation collapse by constraining learned representations to follow a prescribed target distribution, such as…

cs.LG2026

Efficient Neural-Network-Based High-Resolution Radiative Transfer for CO___ Retrieval, and Application to Interferometric Sensing

Jordan Lontsi Tedongmo, Yann Ferrec, Laurence Croizé +3

Studying climate change requires reducing uncertainties in CO2 and CH4 emission estimates to better distinguish anthropogenic from natural sources, which motivates spaceborne measu…

cs.LG2026

Unbiased Open World Regularization for Fair Self-Supervised Learning

L{é}o Nicollier, Marc Pic, Pablo Mus{é} +2

Despite recent advances, self-supervised learning (SSL) models and Joint-Embedding Predictive Architectures (JEPAs) remain susceptible to learning spurious biases in the dataset. T…

cs.LG2026

Expanding SPHERE-JEPA: A Family of Statistical Regularizers for the Hypersphere

Léo Nicollier, Enric Meinhardt-Llopis, Max Dunitz +3

In Self-Supervised Learning (SSL), preventing representation collapse by explicitly enforcing a uniform distribution on the unit hypersphere has proven to be effective. However, cu…

cs.LG2026

SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings

Léo Nicollier, Max Dunitz, Marc Pic +3

A fundamental open question in self-supervised learning (SSL) is the explicit characterization of the optimal geometry of the learned representations. Recently, LeJEPA identified i…

math.OC2026

Mollified Christoffel-Darboux Kernels and Density Recovery on Varieties

Leandro Bentancur, Didier Henrion, Mauricio Velasco

We introduce mollified Christoffel-Darboux (CD) kernels on varieties, a systematic regularization of the classical CD kernel associated with a probability measure on a compact doma…