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Found 4 papers, 1 papers with code
Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation
The proposed framework is capable of producing fast and accurate predictions over long time horizons, dealing with irregularly sampled noisy measurements to correct the solution, and benefits from the decoupling between the spatial and temporal dynamics of this class of PDEs.
Inv-SENnet: Invariant Self Expression Network for clustering under biased data
Subspace clustering algorithms are used for understanding the cluster structure that explains the dataset well.
Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips
For the last several decades, emotion research has attempted to identify a "biomarker" or consistent pattern of brain activity to characterize a single category of emotion (e. g., fear) that will remain consistent across all instances of that category, regardless of individual and context.
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning
The growth of autonomous vehicles, ridesharing systems, and self driving technology will bring a shift in the way ride hailing platforms plan out their services.
