Summary of M2distill: Multi-modal Distillation For Lifelong Imitation Learning, by Kaushik Roy et al.
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learningby Kaushik Roy, Akila Dissanayake, Brendan Tidd, Peyman MoghadamFirst…
Summary of Bnem: a Boltzmann Sampler Based on Bootstrapped Noised Energy Matching, by Ruikang Ouyang et al.
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matchingby RuiKang OuYang, Bo Qiang, Zixing…
Summary of Unsupervised Adaptive Normalization, by Bilal Faye et al.
Unsupervised Adaptive Normalizationby Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen FangFirst submitted to arxiv on:…
Summary of Generative Ai in Ship Design, by Sahil Thakur et al.
Generative AI in Ship Designby Sahil Thakur, Navneet V Saxena, Prof Sitikantha RoyFirst submitted to…
Summary of Controlling For Discrete Unmeasured Confounding in Nonlinear Causal Models, by Patrick Burauel and Frederick Eberhardt and Michel Besserve
Controlling for discrete unmeasured confounding in nonlinear causal modelsby Patrick Burauel, Frederick Eberhardt, Michel BesserveFirst…
Summary of Rl-adn: a High-performance Deep Reinforcement Learning Environment For Optimal Energy Storage Systems Dispatch in Active Distribution Networks, by Shengren Hou et al.
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active…
Summary of Distribution-level Memory Recall For Continual Learning: Preserving Knowledge and Avoiding Confusion, by Shaoxu Cheng et al.
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusionby Shaoxu Cheng, Kanglei Geng,…
Summary of Hyperspectral Unmixing Under Endmember Variability: a Variational Inference Framework, by Yuening Li et al.
Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Frameworkby Yuening Li, Xiao Fu, Junbin Liu,…
Summary of Vicatmix: Variational Bayesian Clustering and Variable Selection For Discrete Biomedical Data, by Paul D. W. Kirk and Jackie Rao
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical databy Paul D. W. Kirk,…
Summary of Quasi-bayes Meets Vines, by David Huk et al.
Quasi-Bayes meets Vinesby David Huk, Yuanhe Zhang, Mark Steel, Ritabrata DuttaFirst submitted to arxiv on:…