Summary of Your Diffusion Model Is Secretly a Noise Classifier and Benefits From Contrastive Training, by Yunshu Wu et al.
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Trainingby Yunshu Wu,…
Summary of Video Diffusion Alignment Via Reward Gradients, by Mihir Prabhudesai and Russell Mendonca and Zheyang Qin and Katerina Fragkiadaki and Deepak Pathak
Video Diffusion Alignment via Reward Gradientsby Mihir Prabhudesai, Russell Mendonca, Zheyang Qin, Katerina Fragkiadaki, Deepak…
Summary of Latent Conditional Diffusion-based Data Augmentation For Continuous-time Dynamic Graph Model, by Yuxing Tian and Yiyan Qi and Aiwen Jiang and Qi Huang and Jian Guo
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Modelby Yuxing Tian, Yiyan Qi, Aiwen…
Summary of What’s the Score? Automated Denoising Score Matching For Nonlinear Diffusions, by Raghav Singhal et al.
What’s the score? Automated Denoising Score Matching for Nonlinear Diffusionsby Raghav Singhal, Mark Goldstein, Rajesh…
Summary of Non-convergence Of Adam and Other Adaptive Stochastic Gradient Descent Optimization Methods For Non-vanishing Learning Rates, by Steffen Dereich and Robin Graeber and Arnulf Jentzen
Non-convergence of Adam and other adaptive stochastic gradient descent optimization methods for non-vanishing learning ratesby…
Summary of Feasibility Study on Active Learning Of Smart Surrogates For Scientific Simulations, by Pradeep Bajracharya et al.
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulationsby Pradeep Bajracharya, Javier Quetzalcóatl…
Summary of Sliced Wasserstein with Random-path Projecting Directions, by Khai Nguyen and Shujian Zhang and Tam Le and Nhat Ho
Sliced Wasserstein with Random-Path Projecting Directionsby Khai Nguyen, Shujian Zhang, Tam Le, Nhat HoFirst submitted…