Summary of Em-gansim: Real-time and Accurate Em Simulation Using Conditional Gans For 3d Indoor Scenes, by Ruichen Wang and Dinesh Manocha
EM-GANSim: Real-time and Accurate EM Simulation Using Conditional GANs for 3D Indoor Scenesby Ruichen Wang,…
Summary of Weiper: Ood Detection Using Weight Perturbations Of Class Projections, by Maximilian Granz et al.
WeiPer: OOD Detection using Weight Perturbations of Class Projectionsby Maximilian Granz, Manuel Heurich, Tim LandgrafFirst…
Summary of Spectral Regularization For Adversarially-robust Representation Learning, by Sheng Yang et al.
Spectral regularization for adversarially-robust representation learningby Sheng Yang, Jacob A. Zavatone-Veth, Cengiz PehlevanFirst submitted to…
Summary of Labobf: a Label Protection Scheme For Vertical Federated Learning Through Label Obfuscation, by Ying He et al.
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscationby Ying He, Mingyang…
Summary of The Poisson Midpoint Method For Langevin Dynamics: Provably Efficient Discretization For Diffusion Models, by Saravanan Kandasamy and Dheeraj Nagaraj
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Modelsby Saravanan Kandasamy,…
Summary of Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf Node, by Andreas Charalampopoulos et al.
Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf Nodeby Andreas Charalampopoulos,…
Summary of Dphgnn: a Dual Perspective Hypergraph Neural Networks, by Siddhant Saxena et al.
DPHGNN: A Dual Perspective Hypergraph Neural Networksby Siddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee,…
Summary of Graph Neural Networks with Configuration Cross-attention For Tensor Compilers, by Dmitrii Khizbullin et al.
Graph neural networks with configuration cross-attention for tensor compilersby Dmitrii Khizbullin, Eduardo Rocha de Andrade,…
Summary of Bayesian Inference with Deep Weakly Nonlinear Networks, by Boris Hanin and Alexander Zlokapa
Bayesian Inference with Deep Weakly Nonlinear Networksby Boris Hanin, Alexander ZlokapaFirst submitted to arxiv on:…
Summary of Se3set: Harnessing Equivariant Hypergraph Neural Networks For Molecular Representation Learning, by Hongfei Wu et al.
SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learningby Hongfei Wu, Lijun Wu, Guoqing…