Summary of High Noise Scheduling Is a Must, by Mahmut S. Gokmen et al.
High Noise Scheduling is a Mustby Mahmut S. Gokmen, Cody Bumgardner, Jie Zhang, Ge Wang,…
Summary of Policy-guided Diffusion, by Matthew Thomas Jackson et al.
Policy-Guided Diffusionby Matthew Thomas Jackson, Michael Tryfan Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob…
Summary of Exploring Neural Network Landscapes: Star-shaped and Geodesic Connectivity, by Zhanran Lin et al.
Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivityby Zhanran Lin, Puheng Li, Lei WuFirst submitted…
Summary of Minicpm: Unveiling the Potential Of Small Language Models with Scalable Training Strategies, by Shengding Hu et al.
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategiesby Shengding Hu, Yuge…
Summary of Dynamic Deep Learning Based Super-resolution For the Shallow Water Equations, by Maximilian Witte et al.
Dynamic Deep Learning Based Super-Resolution For The Shallow Water Equationsby Maximilian Witte, Fabricio Rodrigues Lapolli,…
Summary of Online Learning Of Decision Trees with Thompson Sampling, by Ayman Chaouki et al.
Online Learning of Decision Trees with Thompson Samplingby Ayman Chaouki, Jesse Read, Albert BifetFirst submitted…
Summary of Wu’s Method Can Boost Symbolic Ai to Rival Silver Medalists and Alphageometry to Outperform Gold Medalists at Imo Geometry, by Shiven Sinha et al.
Wu’s Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold…
Summary of Rethinking How to Evaluate Language Model Jailbreak, by Hongyu Cai et al.
Rethinking How to Evaluate Language Model Jailbreakby Hongyu Cai, Arjun Arunasalam, Leo Y. Lin, Antonio…
Summary of Studying the Impact Of Latent Representations in Implicit Neural Networks For Scientific Continuous Field Reconstruction, by Wei Xu et al.
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstructionby…
Summary of Efficient Training Of Probabilistic Neural Networks For Survival Analysis, by Christian Marius Lillelund et al.
Efficient Training of Probabilistic Neural Networks for Survival Analysisby Christian Marius Lillelund, Martin Magris, Christian…