<?xml version="1.0" encoding="utf-8" standalone="yes"?>&lt;?xml-stylesheet type="text/xsl" href="https://academic-works.astrareconslabs.com/feed.xsl"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Notes — Parth Sinha</title><link>https://academic-works.astrareconslabs.com/notes/</link><description>Academic homepage of Parth Sinha, researcher in Computer Science.</description><language>en-gb</language><managingEditor> (Parth Sinha)</managingEditor><lastBuildDate>Sat, 16 May 2026 10:34:04 +0000</lastBuildDate><atom:link href="https://academic-works.astrareconslabs.com/notes/index.xml" rel="self" type="application/rss+xml"/><item><title>The FABRIC Strategy for Verifying Neural Feedback Systems</title><link>https://academic-works.astrareconslabs.com/notes/~/the-fabric-strategy-for-verifying-neural-feedback-systems/</link><pubDate>Sat, 16 May 2026 00:00:00 +0000</pubDate><guid>https://academic-works.astrareconslabs.com/notes/~/the-fabric-strategy-for-verifying-neural-feedback-systems/</guid><description>Notes on the FABRIC strategy for verifying nonlinear neural feedback systems by combining forward reachability, backward reachability, polyhedral enclosures, MILP encodings, DRiPy refinement, and FITS inner-set construction.</description></item><item><title>Reachable Polyhedral Marching for Deep-Learned Control Systems</title><link>https://academic-works.astrareconslabs.com/notes/~/reachable-polyhedral-marching-for-deep-learned-control-systems/</link><pubDate>Wed, 13 May 2026 00:00:00 +0000</pubDate><guid>https://academic-works.astrareconslabs.com/notes/~/reachable-polyhedral-marching-for-deep-learned-control-systems/</guid><description>Notes on Vincent &amp;amp; Schwager (2022) introducing the Reachable Polyhedral Marching (RPM) algorithm for exact reachability analysis of ReLU neural network controllers.</description></item><item><title>Demo Note: Images, Tables, and LaTeX in Academic Work</title><link>https://academic-works.astrareconslabs.com/notes/~/demo-note-images-tables-and-latex-in-academic-work/</link><pubDate>Sun, 12 Jan 2025 00:00:00 +0000</pubDate><guid>https://academic-works.astrareconslabs.com/notes/~/demo-note-images-tables-and-latex-in-academic-work/</guid><description>A showcase note demonstrating image embedding, a borderless striped table, lists, code, and LaTeX rendering in the Academic Work theme.</description></item><item><title>Reading Notes: Lamport Clocks and Happens-Before</title><link>https://academic-works.astrareconslabs.com/notes/~/reading-notes-lamport-clocks-and-happens-before/</link><pubDate>Thu, 03 Oct 2024 00:00:00 +0000</pubDate><guid>https://academic-works.astrareconslabs.com/notes/~/reading-notes-lamport-clocks-and-happens-before/</guid><description>Notes on Lamport&amp;rsquo;s 1978 paper introducing logical clocks and the happens-before relation, with observations on how the idea maps onto modern distributed databases.</description></item><item><title>Working Notes: What Raft Actually Guarantees</title><link>https://academic-works.astrareconslabs.com/notes/~/working-notes-what-raft-actually-guarantees/</link><pubDate>Thu, 18 Jul 2024 00:00:00 +0000</pubDate><guid>https://academic-works.astrareconslabs.com/notes/~/working-notes-what-raft-actually-guarantees/</guid><description>Informal notes clarifying which safety and liveness properties Raft provides under which assumptions, written while preparing a talk on adaptive consensus.</description></item><item><title>First Year of a PhD: What I Wish I Had Known</title><link>https://academic-works.astrareconslabs.com/notes/~/first-year-of-a-phd-what-i-wish-i-had-known/</link><pubDate>Fri, 01 Sep 2023 00:00:00 +0000</pubDate><guid>https://academic-works.astrareconslabs.com/notes/~/first-year-of-a-phd-what-i-wish-i-had-known/</guid><description>Honest notes on what the first year of doctoral research actually looks like — the good, the disorienting, and the practical.</description></item></channel></rss>