Burkle 16, Claremont Graduate University
1021 N. Dartmouth Ave., Claremont, CA, United States
Abstract: Optimal transport describes the process of finding the most efficient way to move mass between two distributions. Wasserstein distance measures the minimal transportation cost achieved by that optimal plan. However, in higher dimensions, computing the Wasserstein distance becomes computationally expensive. The sliced Wasserstein distance offers an effective and efficient way to alleviate this burden. […]
Burkle 16, Claremont Graduate University
1021 N. Dartmouth Ave., Claremont, CA, United States
Abstract: We present our program of geometrizing cohomology on a totally disconnected space through the intrinsic Cantor function and the cohomological complex dimensions of the ternary Cantor set. The Cantor set is an uncountable, self-similar set of measure zero; yet beneath this apparent “dust” lies a remarkably rich geometry across scales. We show how cohomological […]
Burkle 16, Claremont Graduate University
1021 N. Dartmouth Ave., Claremont, CA, United States
A detailed look at the quasi-Riemann hypothesis Abstract: OpenAI’s 2026 proof of an 11/12 quasi-Riemann hypothesis gives a new bound for the error in approximating the number of primes. In […]
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