3 papers
math.NA2026
An adaptive superconvergent mixed finite element method for exactly symmetric linear elasticity based on local residual minimization
Ernesto Cáceres, Patrick Vega
We introduce an a posteriori error estimator for exactly symmetric mixed finite element discretizations of linear elasticity, based on recasting a Stenberg-type postprocessing sche…
cs.CV2026
Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI
Casey Wall, Longwei Wang, Rodrigue Rizk +1
Gradient-weighted Class Activation Mapping (Grad-CAM) is widely used to visualize model decisions, but it was originally formulated for convolutional neural networks, where spatial…
cs.LG2026
Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning
Ujjwal Bhatta, Utsabi Dangol, Sumaly Bajracharya +2
Sparse rewards and heterogeneous task sequences remain persistent challenges in Reinforcement Learning (RL), often resulting in slow convergence, weak generalization, and inefficie…