BEGIN:VCALENDAR VERSION:2.0 PRODID:-//The Institute for Fundamental Study - ECPv6.15.20//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.if.nu.ac.th X-WR-CALDESC:Events for The Institute for Fundamental Study REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Krasnoyarsk BEGIN:STANDARD TZOFFSETFROM:+0700 TZOFFSETTO:+0700 TZNAME:+07 DTSTART:20250101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Krasnoyarsk:20260225T090000 DTEND;TZID=Asia/Krasnoyarsk:20260227T163000 DTSTAMP:20260420T055418 CREATED:20260227T032321Z LAST-MODIFIED:20260206T032339Z UID:19412-1772010000-1772209800@www.if.nu.ac.th SUMMARY:📈 āđ‚āļ„āļĢāļ‡āļāļēāļĢāļˆāļąāļ”āļ—āļģāđāļœāļ™āļ›āļāļīāļšāļąāļ•āļīāļāļēāļĢāļ›āļĢāļ°āļˆāļģāļ›āļĩ DESCRIPTION: URL:https://www.if.nu.ac.th/event/%f0%9f%93%88-%e0%b9%82%e0%b8%84%e0%b8%a3%e0%b8%87%e0%b8%81%e0%b8%b2%e0%b8%a3%e0%b8%88%e0%b8%b1%e0%b8%94%e0%b8%97%e0%b8%b3%e0%b9%81%e0%b8%9c%e0%b8%99%e0%b8%9b%e0%b8%8f%e0%b8%b4%e0%b8%9a%e0%b8%b1/ CATEGORIES:Next Event END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Krasnoyarsk:20260227T133000 DTEND;TZID=Asia/Krasnoyarsk:20260227T140000 DTSTAMP:20260420T055418 CREATED:20260223T033149Z LAST-MODIFIED:20260223T042958Z UID:21365-1772199000-1772200800@www.if.nu.ac.th SUMMARY:ðŸ”đ Tah Poe seminar series LIX(59) Talk no.3 DESCRIPTION:Speaker: Laphas Premcharoen \n\n\n\nTitle:  GEO: Enhancing Combinatorial Optimization with Classical and Quantum Generative Models \n\n\n\nAbstract: Combinatorial optimization is a leading candidate for practical quantum advantage\, yet current quantum optimization strategies frequently require translating real-world problems into Polynomial Unconstrained Binary Optimization (PUBO) expressions\, which introduces significant variable overhead. This seminar introduces the Generator-Enhanced Optimization (GEO) framework\, a novel “black-box” solver that bypasses this limitation by leveraging the generalization capabilities of machine learning generative models. We will specifically examine TN-GEO\, a quantum-inspired instantiation using Matrix Product States. The session will cover TN-GEO’s application to an NP-hard cardinality-constrained portfolio optimization problem\, demonstrating how it outperforms traditional classical solvers and competes with state-of-the-art metaheuristics by generating highly valuable\, previously “unseen” solution candidates. URL:https://www.if.nu.ac.th/event/%f0%9f%94%b9-tah-poe-seminar-series-lix59-talk-no-3/ END:VEVENT END:VCALENDAR