![Generative Models Enhanced with Neuro-Symbolic Constraints for Conditioning Score Estimation (arXiv:2308.16534v1 [cs.LG])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Sep 2, 2023 | AI Blogs
Score-based and diffusion models have become popular in generating both conditional and unconditional content. However, conditional generation typically requires training a conditional model or utilizing classifier guidance, even when a classifier for uncorrupted data...
by instadatahelp | Sep 2, 2023 | AI Blogs
Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity Artem Vysogorets, Julia Kempe; 24(99):1−23, 2023. Abstract Neural network pruning is an area of research that has gained significant interest, particularly in high sparsity regimes. In...
by instadatahelp | Sep 2, 2023 | AI Blogs
In order to enable effective manipulation of objects by robots in real-world settings, accurate estimation of their 6D pose is crucial. However, many current approaches struggle to make accurate predictions when faced with new instances of objects and heavy...
by instadatahelp | Sep 2, 2023 | AI Blogs
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha; 24(178):1−75, 2023. Abstract Traditional centralized multi-agent reinforcement learning (MARL)...
by instadatahelp | Sep 2, 2023 | AI Blogs
The limitations of graph neural networks (GNNs) are often caused by over-squashing and over-smoothing. Over-smoothing erases node differences, while over-squashing hinders information propagation over long distances. These issues stem from the graph structure itself....
by instadatahelp | Sep 2, 2023 | AI Blogs
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds Authors: Didong Li, Wenpin Tang, Sudipto Banerjee; Volume 24(101):1−26, 2023. Abstract Gaussian processes are widely used as versatile modeling and predictive tools in spatial...
by Anurishi Jain | Sep 2, 2023 | News
In a major breakthrough for artificial intelligence, an AI system has beaten three world-champion human drone racers in a series of races. The AI system, called Swift, was developed by researchers at the University of Zurich and Intel. The races took place in an...
by instadatahelp | Sep 2, 2023 | AI Blogs
The field of science is currently facing a crisis in terms of reproducibility. One potential solution that has been proposed is the incorporation of data analysis replications into classrooms. However, the feasibility of this approach and what stakeholders can expect...
by instadatahelp | Sep 2, 2023 | AI Blogs
Variational Inference for Deblending Crowded Starfields Authors: Runjing Liu, Jon D. McAuliffe, Jeffrey Regier; Published in 2023, Volume 24(179):1−36 Abstract In astronomical survey images, it is common for stars and galaxies to visually overlap. Deblending refers to...
by instadatahelp | Sep 2, 2023 | AI Blogs
The introduction of latent diffusers has brought about a revolution in generative AI and has served as a source of inspiration for creative art. By denoising the latent, the predicted original image progressively brings to life the formation process. However, the...
