Summary of Reservoir Computing For Fast, Simplified Reinforcement Learning on Memory Tasks, by Kevin Mckee
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasksby Kevin McKeeFirst submitted to arxiv…
Summary of Memory-reduced Meta-learning with Guaranteed Convergence, by Honglin Yang et al.
Memory-Reduced Meta-Learning with Guaranteed Convergenceby Honglin Yang, Ji Ma, Xiao YuFirst submitted to arxiv on:…
Summary of Neural Port-hamiltonian Differential Algebraic Equations For Compositional Learning Of Electrical Networks, by Cyrus Neary et al.
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networksby Cyrus Neary, Nathan Tsao,…
Summary of Psmgd: Periodic Stochastic Multi-gradient Descent For Fast Multi-objective Optimization, by Mingjing Xu et al.
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimizationby Mingjing Xu, Peizhong Ju, Jia Liu,…
Summary of Brain-inspired Chaotic Graph Backpropagation For Large-scale Combinatorial Optimization, by Peng Tao et al.
Brain-inspired Chaotic Graph Backpropagation for Large-scale Combinatorial Optimizationby Peng Tao, Kazuyuki Aihara, Luonan ChenFirst submitted…
Summary of Gll: a Differentiable Graph Learning Layer For Neural Networks, by Jason Brown et al.
GLL: A Differentiable Graph Learning Layer for Neural Networksby Jason Brown, Bohan Chen, Harris Hardiman-Mostow,…
Summary of How to Correctly Do Semantic Backpropagation on Language-based Agentic Systems, by Wenyi Wang et al.
How to Correctly do Semantic Backpropagation on Language-based Agentic Systemsby Wenyi Wang, Hisham A. Alyahya,…
Summary of Gated Parametric Neuron For Spike-based Audio Recognition, by Haoran Wang and Herui Zhang and Siyang Li and Dongrui Wu
Gated Parametric Neuron for Spike-based Audio Recognitionby Haoran Wang, Herui Zhang, Siyang Li, Dongrui WuFirst…
Summary of Steering Rectified Flow Models in the Vector Field For Controlled Image Generation, by Maitreya Patel et al.
Steering Rectified Flow Models in the Vector Field for Controlled Image Generationby Maitreya Patel, Song…
Summary of Training Hamiltonian Neural Networks Without Backpropagation, by Atamert Rahma et al.
Training Hamiltonian neural networks without backpropagationby Atamert Rahma, Chinmay Datar, Felix DietrichFirst submitted to arxiv…