Summary of Autoregressive Model Path Dependence Near Ising Criticality, by Yi Hong Teoh and Roger G. Melko
Autoregressive model path dependence near Ising criticalityby Yi Hong Teoh, Roger G. MelkoFirst submitted to…
Summary of Efficient Fine-tuning Of 37-level Graphcast with the Canadian Global Deterministic Analysis, by Christopher Subich
Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysisby Christopher SubichFirst submitted to…
Summary of A Domain Decomposition-based Autoregressive Deep Learning Model For Unsteady and Nonlinear Partial Differential Equations, by Sheel Nidhan et al.
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equationsby Sheel…
Summary of Detpp: Leveraging Object Detection For Robust Long-horizon Event Prediction, by Ivan Karpukhin et al.
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Predictionby Ivan Karpukhin, Andrey SavchenkoFirst submitted to…
Summary of Hypergraph Learning Based Recommender System For Anomaly Detection, Control and Optimization, by Sakhinana Sagar Srinivas et al.
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimizationby Sakhinana Sagar Srinivas, Rajat…
Summary of On the Approximability Of Stationary Processes Using the Arma Model, by Anand Ganesh et al.
On the Approximability of Stationary Processes using the ARMA Modelby Anand Ganesh, Babhrubahan Bose, Anand…
Summary of Increasing Transformer Token Length with a Maximum Entropy Principle Method, by R. I. Cukier
Increasing transformer token length with a Maximum Entropy Principle Methodby R. I. CukierFirst submitted to…
Summary of Batgpt-chem: a Foundation Large Model For Retrosynthesis Prediction, by Yifei Yang et al.
BatGPT-Chem: A Foundation Large Model For Retrosynthesis Predictionby Yifei Yang, Runhan Shi, Zuchao Li, Shu…