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Found 7 papers, 2 papers with code
Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem
By modeling the inverse design of PCSEL as a sequential decision-making problem, RL approaches can construct a satisfactory PCSEL structure from scratch.
Spatio-temporal Prompting Network for Robust Video Feature Extraction
Then, these video prompts are prepended to the patch embeddings of the current frame as the updated input for video feature extraction.
Induced Generative Adversarial Particle Transformers
In high energy physics (HEP), machine learning methods have emerged as an effective way to accurately simulate particle collisions at the Large Hadron Collider (LHC).
Deep Signature Algorithm for Multi-dimensional Path-Dependent Options
We extend the backward scheme in [Hur\'e-Pham-Warin.
POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices
In this work, we propose the first-ever Transformer model (POViT) to efficiently design and simulate semiconductor photonic devices with multiple objectives.
Deep Signature FBSDE Algorithm
We propose a deep signature/log-signature FBSDE algorithm to solve forward-backward stochastic differential equations (FBSDEs) with state and path dependent features.
Risk Preferences and Efficiency of Household Portfolios
We propose a novel approach to infer investors' risk preferences from their portfolio choices, and then use the implied risk preferences to measure the efficiency of investment portfolios.
