![A Revised Approach to Concept Editing in Diffusion Models (arXiv:2308.14761v1 [cs.CV])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Aug 30, 2023 | AI Blogs
Text-to-image models face several safety concerns that may hinder their applicability for deployment. Traditionally, these concerns, including bias, copyright infringement, and offensive content, have been addressed separately. However, in real-world scenarios, all...
by instadatahelp | Aug 30, 2023 | AI Blogs
Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data Authors: Hua Liu, Jinhong You, Jiguo Cao; Published in Journal of Machine Learning Research, 24(219):1−41, 2023. Abstract When dealing with massive data, memory and...
by instadatahelp | Aug 30, 2023 | AI Blogs
Recent research has demonstrated the potential of utilizing pre-trained models for 3D molecular representation. However, these existing models primarily focus on equilibrium data and neglect off-equilibrium conformations. The main challenge lies in extending these...
by instadatahelp | Aug 30, 2023 | AI Blogs
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors Michail Spitieris, Ingelin Steinsland; 24(108):1−39, 2023. Abstract In this paper, we present a computationally efficient data-driven framework for quantifying uncertainty in physical...
by instadatahelp | Aug 30, 2023 | AI Blogs
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee; 24(220):1−32, 2023. Abstract In fully cooperative multi-agent reinforcement learning (MARL) settings, the...
