4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 4 cited
Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning
Shota Deguchi, Mitsuteru Asai
Physics-informed neural networks have attracted significant attention in scientific machine learning for their capability to solve forward and inverse problems governed by partial…
hep-th2014★ 3 cited
Exchange Relation in sl3 WZNW model in Semiclassical Limit
Sho Deguchi
We consider the exchange relations of screened vertex operators in the sl3 Wess-Zumino-Novikov-Witten(WZNW) model in the semiclassical limit (where level k tends to infinity). We d…
hep-th2011★ 1 cited
Proving the Absence of the Perturbative Corrections to the N=2 U(1) Kähler Potential Using the N=1 Supergraph Techniques
Sho Deguchi
Perturbative N=2 non-renormalization theorem states that there is no perturbative correction to the Kahler potential \int d^4θK(Φ,\barΦ). We prove this statement by using the N=1 s…