Maximum Mean Discrepancy (MMD)
PulseAugur coverage of Maximum Mean Discrepancy (MMD) — every cluster mentioning Maximum Mean Discrepancy (MMD) across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New DC programming method optimizes functionals in Wasserstein space · 2 sources tracked
Researchers have developed a new method for optimizing non-convex functionals in Wasserstein space by adapting the Difference-of-Convex (DC) programming approach. This technique, applied to functionals like Maximum Mean…
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New research reveals AI model extraction defenses are vulnerable
Two new research papers highlight vulnerabilities in current defenses against AI model extraction attacks. One paper proposes a simple yet effective detector that analyzes traffic window distributions to identify deviat…
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New MoE frameworks enhance time series forecasting efficiency and accuracy
Researchers have developed new Mixture-of-Experts (MoE) frameworks for time series forecasting that aim to improve efficiency and accuracy. AME-TS uses structure-guided routing to align expert specialization with tempor…
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New transport filtering method improves nonlinear, non-Gaussian approximations
Researchers have developed a new likelihood-free transport filtering method that leverages couplings between state and observation variables. This approach reformulates the filtering analysis step as a minimization of t…
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New CP-MMD method unifies kernel selection for statistical tests
Researchers have introduced a new statistical method called Complexity-Penalized MMD (CP-MMD) to improve the accuracy of two-sample tests. This approach treats kernel selection as a model selection problem, allowing for…