Showing 1–20 of 25 results
/ Date/ Name
Mar 23, 2023Learning and generalization of compositional representations of visual scenesJan 7, 2010An Unsupervised Algorithm For Learning Lie Group TransformationsApr 23, 2022Learning and Inference in Sparse Coding Models with Langevin DynamicsJun 17, 2021Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional ComputingMar 29, 2021Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factorsJun 9, 2021Vector Symbolic Architectures as a Computing Framework for Emerging HardwareDec 20, 2014Discovering Hidden Factors of Variation in Deep NetworksApr 29, 2024Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator NetworksJul 7, 2020Resonator networks for factoring distributed representations of data structuresAug 28, 2022Computing with Hypervectors for Efficient Speaker IdentificationMay 26, 2016DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize MoviesNov 8, 2023Computing with Residue Numbers in High-Dimensional RepresentationJan 21, 2017Opportunities for Analog Coding in Emerging Memory SystemsAug 26, 2022Neuromorphic Visual Scene Understanding with Resonator NetworksJun 27, 2024Binding in hippocampal-entorhinal circuits enables compositionality in cognitive mapsMar 25, 2026Emergence of unique hues from sparse coding of color in natural scenesDec 7, 2022Efficient Optimization with Higher-Order Ising MachinesMay 26, 2023Efficient Decoding of Compositional Structure in Holistic RepresentationsJun 19, 2019Resonator Networks outperform optimization methods at solving high-dimensional vector factorizationSep 8, 2021Computing on Functions Using Randomized Vector Representations