5 citations · 6 across the 3 of their papers we have counts for
3 papers
math.OC2022★ 1 cited
Rieoptax: Riemannian Optimization in JAX
Saiteja Utpala, Andi Han, Pratik Jawanpuria +1
We present Rieoptax, an open source Python library for Riemannian optimization in JAX. We show that many differential geometric primitives, such as Riemannian exponential and logar…
cs.CG2021
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results
Nina Miolane, Matteo Caorsi, Umberto Lupo +30
This paper presents the computational challenge on differential geometry and topology that happened within the ICLR 2021 workshop "Geometric and Topological Representation Learning…
cs.LG2020★ 5 cited
Quantile Regularization: Towards Implicit Calibration of Regression Models
Saiteja Utpala, Piyush Rai
Recent works have shown that most deep learning models are often poorly calibrated, i.e., they may produce overconfident predictions that are wrong. It is therefore desirable to ha…