Kentaro Hoshisashi

Papers on Lattice

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Architecture Design (Transformers, SSMs, MoE) (1)Scientific Discovery & Drug Design (1)Training Efficiency & Optimization (1)

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Carolyn E. Phelan (1)Paolo Barucca (1)

Papers (1)

Apr 15, 2026

Physics-Informed Neural Networks for Solving Derivative-Constrained PDEs

Guaranteeing physically plausible solutions to PDEs just got easier: DC-PINNs leverage derivative constraints and adaptive loss balancing to improve the accuracy and stability of PINN solutions.

Kentaro Hoshisashi, Carolyn E. Phelan, Paolo Barucca

Architecture Design (Transformers, SSMs, MoE)Scientific Discovery & Drug Design Training Efficiency & Optimization

Kentaro Hoshisashi

Research focus

Frequent co-authors

Papers (1)

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Kentaro Hoshisashi

Research focus

Frequent co-authors

Papers (1)