Showing 1–20 of 72 results
/ Date/ Name
Dec 31, 2020Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with TransformersMay 23, 2023Toward stochastic neural computingMay 30, 2023Probabilistic computation and uncertainty quantification with emerging covarianceMar 17, 2024Decoding Continuous Character-based Language from Non-invasive Brain RecordingsJun 7, 2022On a framework of data assimilation for neuronal networksDec 12, 2023MinD-3D: Reconstruct High-quality 3D objects in Human BrainMar 13, 2024Efficient Combinatorial Optimization via Heat DiffusionJun 10, 2024Topo-Field: Topometric mapping with Brain-inspired Hierarchical Layout-Object-Position FieldsSep 25, 2012Identifying Brain Image Level Endophenotypes in EpilepsyJul 16, 2025EEG-fused Digital Twin Brain for Autonomous Driving in Virtual ScenariosAug 5, 2025LongVie: Multimodal-Guided Controllable Ultra-Long Video GenerationMay 29, 2025DTBIA: An Immersive Visual Analytics System for Brain-Inspired ResearchMay 7, 2025Towards a Vision-Language Episodic Memory Framework: Large-scale Pretrained Model-Augmented Hippocampal Attractor DynamicsMay 22, 2025Stochastic Forward-Forward Learning through Representational Dimensionality CompressionJan 17, 2026Automated Optimization Modeling via a Localizable Error-Driven PerspectiveFeb 20, 2022Clustering by the Probability Distributions from Extreme Value TheoryJun 8, 2022Accelerating Score-based Generative Models for High-Resolution Image SynthesisAug 2, 2023Digital Twin Brain: a simulation and assimilation platform for whole human brainOct 15, 2012Spatio-temporal Granger causality: a new frameworkOct 28, 2017Dual Skipping Networks