<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>C G Krishnanunni | PHO-ICES GROUP</title><link>https://phoices.netlify.app/author/c-g-krishnanunni/</link><atom:link href="https://phoices.netlify.app/author/c-g-krishnanunni/index.xml" rel="self" type="application/rss+xml"/><description>C G Krishnanunni</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Wed, 08 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://phoices.netlify.app/media/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_3.png</url><title>C G Krishnanunni</title><link>https://phoices.netlify.app/author/c-g-krishnanunni/</link></image><item><title>An optimal control approach for neural network architecture adaptation with a posteriori error estimation</title><link>https://phoices.netlify.app/publication/an-optimal-control-approach-for-neural-network-architecture-adaptation-with-a-posteriori-error-estimation/</link><pubDate>Wed, 08 Jul 2026 00:00:00 +0000</pubDate><guid>https://phoices.netlify.app/publication/an-optimal-control-approach-for-neural-network-architecture-adaptation-with-a-posteriori-error-estimation/</guid><description/></item><item><title>A New Look at the Ensemble Kalman Filter for Inverse Problems: Duality, Non-Asymptotic Analysis and Convergence Acceleration</title><link>https://phoices.netlify.app/publication/a-new-look-at-the-ensemble-kalman-filter-for-inverse-problems-duality-non-asymptotic-analysis-and-convergence-acceleration/</link><pubDate>Sat, 24 Jan 2026 00:00:00 +0000</pubDate><guid>https://phoices.netlify.app/publication/a-new-look-at-the-ensemble-kalman-filter-for-inverse-problems-duality-non-asymptotic-analysis-and-convergence-acceleration/</guid><description/></item><item><title>Topological derivative approach for deep neural network architecture adaptation</title><link>https://phoices.netlify.app/publication/topological-derivative-approach-for-deep-neural-network-architecture-adaptation/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://phoices.netlify.app/publication/topological-derivative-approach-for-deep-neural-network-architecture-adaptation/</guid><description/></item><item><title>An Adaptive and Stability-Promoting Layerwise Training Approach for Sparse Deep Neural Network Architecture</title><link>https://phoices.netlify.app/publication/an-adaptive-and-stability-promoting-layerwise-training-approach-for-sparse-deep-neural-network-architecture/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://phoices.netlify.app/publication/an-adaptive-and-stability-promoting-layerwise-training-approach-for-sparse-deep-neural-network-architecture/</guid><description/></item></channel></rss>