Mahdi Mohammadigohari
PulseAugur coverage of Mahdi Mohammadigohari — every cluster mentioning Mahdi Mohammadigohari across labs, papers, and developer communities, ranked by signal.
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New Variation Brownian Kernel Ladder framework introduced for representation complexity
Researchers have introduced the Variation Brownian Kernel Ladder (VBKL), a novel function-space framework designed to enhance representation complexity. This framework separates the recursive construction of dictionarie…
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New operator-theoretic bounds for multitask deep learning
Researchers have developed operator-theoretic generalization bounds for deep multitask learning models. The approach represents network layers as Koopman composition operators within vector-valued reproducing kernel Hil…
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Brownian Kernel Ladders Introduce Novel Hierarchical Function Spaces for Deep Learning
Researchers have introduced Brownian kernel ladders (BKLs), a novel hierarchy of integral reproducing kernel Hilbert spaces designed to capture compositional representations in machine learning. This framework recursive…
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New operator-based frameworks advance multi-task deep learning theory
Researchers have developed new theoretical frameworks for understanding generalization in multi-task deep learning. One approach utilizes an operator-theoretic framework, combining Koopman-based methods with sketching t…