Summary of Diffusion Models Are Real-time Game Engines, by Dani Valevski et al.
Diffusion Models Are Real-Time Game Enginesby Dani Valevski, Yaniv Leviathan, Moab Arar, Shlomi FruchterFirst submitted…
Summary of From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models, by Kaylee Chhua et al.
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Modelsby Kaylee…
Summary of Cl4kge: a Curriculum Learning Method For Knowledge Graph Embedding, by Yang Liu et al.
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embeddingby Yang Liu, Chuan Zhou, Peng Zhang,…
Summary of Correntropy-based Improper Likelihood Model For Robust Electrophysiological Source Imaging, by Yuanhao Li et al.
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imagingby Yuanhao Li, Badong Chen, Zhongxu Hu,…
Summary of Dynamic Operator Management in Meta-heuristics Using Reinforcement Learning: An Application to Permutation Flowshop Scheduling Problems, by Maryam Karimi Mamaghan et al.
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problemsby…
Summary of Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models, by Hongfu Liu et al.
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Modelsby Hongfu Liu, Yuxi Xie, Ye…
Summary of Learning Robust Reward Machines From Noisy Labels, by Roko Parac et al.
Learning Robust Reward Machines from Noisy Labelsby Roko Parac, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco,…
Summary of Adversarial Attacks and Defenses in Multivariate Time-series Forecasting For Smart and Connected Infrastructures, by Pooja Krishan et al.
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructuresby Pooja Krishan,…
Summary of Spikingssms: Learning Long Sequences with Sparse and Parallel Spiking State Space Models, by Shuaijie Shen et al.
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Modelsby Shuaijie Shen, Chao…
Summary of Quotient Normalized Maximum Likelihood Criterion For Learning Bayesian Network Structures, by Tomi Silander et al.
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structuresby Tomi Silander, Janne Leppä-aho, Elias…