Robuta

https://www.helsinki.fi/en/researchgroups/geometric-analysis-and-quasiconformal-geometry/people-and-research People and research | Geometric Analysis and Quasiconformal Geometry | University of Helsinki List of the group members and short descriptions of their research interests. people and researchgeometric analysisuniversity ofquasiconformalgeometry https://arxiv.org/abs/1002.3006 [1002.3006] Geometric analysis on small unitary representations of GL(N,R) Abstract page for arXiv paper 1002.3006: Geometric analysis on small unitary representations of GL(N,R) geometric analysis https://openreview.net/forum?id=GH7QRzUDdXG A Geometric Analysis of Deep Generative Image Models and Its Applications | OpenReview Generative adversarial networks (GANs) have emerged as a powerful unsupervised method to model the statistical patterns of real-world data sets, such as... geometric analysisgenerative image https://clinicalimaginganalytics.com/ Geometric Analysis - Clinical Imaging Analytics geometric analysisclinical imaginganalytics https://openreview.net/forum?id=MAyoVf1rn6 Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior |... Deep neural networks perform well in many applications but often fail when exposed to out-of-distribution (OoD) inputs. We identify a geometric phenomenon in... geometric analysisstochasticembeddingsprobabilistic https://www.ie.edu/ieresearchdatalab/news-events/2022/11/leonelli-m-riccomagno-e-2022-a-geometric-characterization-of-sensitivity-analysis-in-monomial-models-international-journal-of-approximate-reasoning-151-64-84/ Leonelli, M., & Riccomagno, E. (2022). A geometric characterization of sensitivity analysis in... Nov 29, 2024 - A geometric characterization of sensitivity analysis in monomial models 2022 a https://arxiv.org/abs/1901.02058 [1901.02058] A geometric characterisation of sensitivity analysis in monomial models Abstract page for arXiv paper 1901.02058: A geometric characterisation of sensitivity analysis in monomial models sensitivity analysis190102058geometriccharacterisation https://openreview.net/forum?id=7HFQfRjdcn Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks |... We introduce a novel approach for analyzing the training dynamics of ReLU networks by examining the characteristic activation boundaries of individual ReLU... activation analysisneuralcharacteristicgeometricparameterization