Summary of Tight Stability, Convergence, and Robustness Bounds For Predictive Coding Networks, by Ankur Mali et al.
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networksby Ankur Mali, Tommaso Salvatori, Alexander…
Summary of Gradient Routing: Masking Gradients to Localize Computation in Neural Networks, by Alex Cloud et al.
Gradient Routing: Masking Gradients to Localize Computation in Neural Networksby Alex Cloud, Jacob Goldman-Wetzler, Evžen…
Summary of Fastlrnr and Sparse Physics Informed Backpropagation, by Woojin Cho et al.
FastLRNR and Sparse Physics Informed Backpropagationby Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit…
Summary of Nets: a Non-equilibrium Transport Sampler, by Michael S. Albergo and Eric Vanden-eijnden
NETS: A Non-Equilibrium Transport Samplerby Michael S. Albergo, Eric Vanden-EijndenFirst submitted to arxiv on: 3…
Summary of Counter-current Learning: a Biologically Plausible Dual Network Approach For Deep Learning, by Chia-hsiang Kao et al.
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learningby Chia-Hsiang Kao, Bharath HariharanFirst…
Summary of Memory Networks: Towards Fully Biologically Plausible Learning, by Jacobo Ruiz et al.
Memory Networks: Towards Fully Biologically Plausible Learningby Jacobo Ruiz, Manas GuptaFirst submitted to arxiv on:…
Summary of Self-attention As An Attractor Network: Transient Memories Without Backpropagation, by Francesco D’amico et al.
Self-attention as an attractor network: transient memories without backpropagationby Francesco D'Amico, Matteo NegriFirst submitted to…
Summary of Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient, by Shaoqi Wang and Chunjie Yang and Siwei Lou
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradientby Shaoqi Wang, Chunjie Yang,…
Summary of Adaptive Feedforward Gradient Estimation in Neural Odes, by Jaouad Dabounou
Adaptive Feedforward Gradient Estimation in Neural ODEsby Jaouad DabounouFirst submitted to arxiv on: 22 Sep…
Summary of Grin: Gradient-informed Moe, by Liyuan Liu et al.
GRIN: GRadient-INformed MoEby Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao…