Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...
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