On the Utility of Probing Trajectories for Algorithm-Selection
The paper proposes a new method for algorithm-selection using short probing trajectories. This approach is applied by…
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
The paper presents DeepRicci, a self-supervised model for graph structure-feature co-refinement. It aims to solve the over-squashing…
MORPH: Towards Automated Concept Drift Adaptation for Malware Detection
The research paper introduces MORPH, a pseudo-label-based concept drift adaptation method designed for neural networks to mitigate…
Binary structured physics-informed neural networks for solving equations with rapidly changing solutions
The article discusses the use of Physics-Informed Neural Networks (PINNs) for solving partial differential equations (PDEs). However,…
Dynamic Layer Tying for Parameter-Efficient Transformers
The study presents a method of dynamically selecting layers in deep transformer networks to reduce the number…
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
This paper presents MAPPING, a model-agnostic framework for debiasing Graph Neural Networks (GNNs) to ensure fair node…
Enhancing Next Destination Prediction: A Novel LSTM Approach Using Real-World Airline Data
This research aims to improve the prediction of travelers’ next destinations by using a novel model architecture…
Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces
The article discusses Iterated Relevance Matrix Analysis (IRMA), a method for identifying a linear subspace that represents…
Learning safety critics via a non-contractive binary bellman operator
The research addresses the challenge of enforcing safety in Reinforcement Learning (RL), crucial for its application in…
Model-Free $δ$-Policy Iteration Based on Damped Newton Method for Nonlinear Continuous-Time H$\infty$ Tracking Control
This article introduces a new algorithm based on the damped Newton method for the H tracking control…