Robuta

https://openreview.net/forum?id=B1ckMDqlg Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer | OpenReview The capacity of a neural network to absorb information is limited by its number of parameters. Conditional computation, where parts of the network are active... large neural networks mixture of experts https://jmir.org/2025/1/e67253 Journal of Medical Internet Research - Large Language Models and Artificial Neural Networks for... Background: Accurate mortality risk prediction is crucial for effective cardiovascular risk management. Recent advancements in artificial intelligence (AI)... large language models https://jmlr.org/papers/v25/22-0952.html Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch... https://elifesciences.org/reviewed-preprints/102574v1/reviews Changes in large-scale neural networks under stress are linked to affective reactivity to stress in... https://elifesciences.org/reviewed-preprints/102574/reviews Changes in large-scale neural networks under stress are linked to affective reactivity to stress in... https://www.easychair.org/publications/preprint/mDGN Visual Odometry Based on Convolutional Neural Networks for Large-Scale Scenes convolutional neural networks visual odometry large scale based https://openreview.net/forum?id=PPzV1H4atM4 Score-based Generative Neural Networks for Large-Scale Optimal Transport | OpenReview We solve a regularized form of the optimal transport problem using Langevin Sampling with score-based generative models. neural networks large scale optimal transport score based https://openreview.net/forum?id=WFIMSlNS7C LEVIS: Large Exact Verifiable Input Spaces for Neural Networks | OpenReview The robustness of neural networks is crucial in safety-critical applications, where identifying a reliable input space is essential for effective model... for neural networks levis large exact verifiable https://www.preprints.org/manuscript/202507.0582 Advances in Large-Scale Spiking Neural Networks: Learning, Simulation, and Deployment[v1] |... Spiking Neural Networks (SNNs) represent a biologically inspired class of artificial neural models that leverage discrete spike events to encode and process... spiking neural networks large scale