Summary of Adversarial Training For Graph Neural Networks Via Graph Subspace Energy Optimization, by Ganlin Liu et al.
Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimizationby Ganlin Liu, Ziling Liang,…
Summary of Resolution-robust 3d Mri Reconstruction with 2d Diffusion Priors: Diverse-resolution Training Outperforms Interpolation, by Anselm Krainovic et al.
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolationby Anselm Krainovic, Stefan…
Summary of Stochastic Control For Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence, by Yinbin Han et al.
Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergenceby Yinbin Han, Meisam Razaviyayn, Renyuan…
Summary of Can Stability Be Detrimental? Better Generalization Through Gradient Descent Instabilities, by Lawrence Wang et al.
Can Stability be Detrimental? Better Generalization through Gradient Descent Instabilitiesby Lawrence Wang, Stephen J. RobertsFirst…
Summary of Improving the Noise Estimation Of Latent Neural Stochastic Differential Equations, by Linus Heck et al.
Improving the Noise Estimation of Latent Neural Stochastic Differential Equationsby Linus Heck, Maximilian Gelbrecht, Michael…
Summary of Sharpness-aware Minimization with Adaptive Regularization For Training Deep Neural Networks, by Jinping Zou et al.
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networksby Jinping Zou, Xiaoge Deng, Tao…
Summary of Topology-aware 3d Gaussian Splatting: Leveraging Persistent Homology For Optimized Structural Integrity, by Tianqi Shen et al.
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrityby Tianqi Shen, Shaohua Liu,…
Summary of When Can Proxies Improve the Sample Complexity Of Preference Learning?, by Yuchen Zhu et al.
When Can Proxies Improve the Sample Complexity of Preference Learning?by Yuchen Zhu, Daniel Augusto de…
Summary of When Worse Is Better: Navigating the Compression-generation Tradeoff in Visual Tokenization, by Vivek Ramanujan et al.
When Worse is Better: Navigating the compression-generation tradeoff in visual tokenizationby Vivek Ramanujan, Kushal Tirumala,…
Summary of Learning Sparsity-promoting Regularizers For Linear Inverse Problems, by Giovanni S. Alberti et al.
Learning sparsity-promoting regularizers for linear inverse problemsby Giovanni S. Alberti, Ernesto De Vito, Tapio Helin,…