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Deep ensembles are capable of achieving state-of-the-art results in classification and out-of-distribution (OOD) detection. However, their effectiveness is limited due to the homogeneity of learned patterns within ensembles. To overcome…

Computer Vision and Pattern Recognition · Computer Science 2024-11-06 Stanislav Dereka , Ivan Karpukhin , Maksim Zhdanov , Sergey Kolesnikov

We apply recently developed inference methods based on general coalescent processes to DNA sequence data obtained from various marine species. Several of these species are believed to exhibit so-called shallow gene genealogies, potentially…

Populations and Evolution · Quantitative Biology 2012-11-06 Matthias Steinrücken , Matthias Birkner , Jochen Blath

This paper proposes a new class of heterogeneous causal quantities, named \textit{outcome conditioned} average structural derivatives (OASD) in a general nonseparable model. OASD is the average partial effect of a marginal change in a…

Econometrics · Economics 2022-11-16 Zequn Jin , Lihua Lin , Zhengyu Zhang

We show that in a generalized Adams spectral sequence, the presence of a vanishing line of fixed slope (at some term of the spectral sequence, with some intercept) is a generic property.

Algebraic Topology · Mathematics 2007-05-23 M. J. Hopkins , J. H. Palmieri , J. H. Smith

The reconstruction of a central tendency `species tree' from a large number of conflicting gene trees is a central problem in systematic biology. Moreover, it becomes particularly problematic when taxon coverage is patchy, so that not all…

Populations and Evolution · Quantitative Biology 2013-07-22 Mike Steel

The transition distribution of a sample taken from a Wright-Fisher diffusion with general small mutation rates is found using a coalescent approach. The approximation is equivalent to having at most one mutation in the coalescent tree of…

Populations and Evolution · Quantitative Biology 2019-09-12 Conrad J. Burden , Robert C. Griffiths

In population genetic studies, the allele frequency spectrum (AFS) efficiently summarizes genome-wide polymorphism data and shapes a variety of allele frequency-based summary statistics. While existing theory typically features equilibrium…

Populations and Evolution · Quantitative Biology 2015-12-16 Ingemar Kaj , Carina F. Mugal

Hyperspectral images offer extensive spectral information about ground objects across multiple spectral bands. However, the large volume of data can pose challenges during processing. Typically, adjacent bands in hyperspectral data are…

Computer Vision and Pattern Recognition · Computer Science 2025-01-27 Dibyabha Deb , Ujjwal Verma

We show that in a generalized Adams spectral sequence, the presence of a vanishing line of fixed slope (at some term of the spectral sequence, with some intercept) is a generic property.

Algebraic Topology · Mathematics 2014-11-11 M. J. Hopkins , J. H. Palmieri , J. H. Smith

The reconstruction of a species phylogeny from genomic data faces two significant hurdles: 1) the trees describing the evolution of each individual gene--i.e., the gene trees--may differ from the species phylogeny and 2) the molecular…

Machine Learning · Computer Science 2017-07-17 Gautam Dasarathy , Elchanan Mossel , Robert Nowak , Sebastien Roch

Classifying samples as in-distribution or out-of-distribution (OOD) is a challenging problem of anomaly detection and a strong test of the generalisation power for models of the in-distribution. In this paper, we present a simple and…

Machine Learning · Computer Science 2021-03-29 Nima Rafiee , Rahil Gholamipoor , Markus Kollmann

We show that many topological features of level-1 species networks are identifiable from the distribution of the gene tree quartets under the network multi-species coalescent model. In particular, every cycle of size at least 4 and every…

Populations and Evolution · Quantitative Biology 2017-11-30 Hector Baños

We studied the mathematical relations between species abundance distributions (SADs) and species-area relationships (SARs) and found that a power-law SAR can be generally derived from a power-law SAD without a special assumption such as the…

Populations and Evolution · Quantitative Biology 2007-05-23 Haruyuki Irie , Kei Tokita

We consider a general class of super-additive scores measuring the similarity of two independent sequences of $n$ i.i.d. letters from a finite alphabet. Our object of interest is the mean score by letter $l_n$. By the subadditivity $l_n$ is…

Probability · Mathematics 2010-11-18 Juri Lember , Heinrich Matzinger , Felipe Torres

Many classification problems are naturally multi-view in the sense their data are described through multiple heterogeneous descriptions. For such tasks, dissimilarity strategies are effective ways to make the different descriptions…

Machine Learning · Computer Science 2020-07-17 Simon Bernard , Hongliu Cao , Robert Sabourin , Laurent Heutte

The coalescent is a stochastic process representing ancestral lineages in a population undergoing neutral genetic drift. Originally defined for a well-mixed population, the coalescent has been adapted in various ways to accommodate spatial,…

Populations and Evolution · Quantitative Biology 2024-07-02 Benjamin Allen , Alex McAvoy

Anomaly detection (AD) is the machine learning task of identifying highly discrepant abnormal samples by solely relying on the consistency of the normal training samples. Under the constraints of a distribution shift, the assumption that…

Machine Learning · Computer Science 2023-12-25 João B. S. Carvalho , Mengtao Zhang , Robin Geyer , Carlos Cotrini , Joachim M. Buhmann

Inference of the evolutionary histories of species, commonly represented by a species tree, is complicated by the divergent evolutionary history of different parts of the genome. Different loci on the genome can have different histories…

Populations and Evolution · Quantitative Biology 2020-10-14 Andrew Richards , Laura Kubatko

Inference of network-like evolutionary relationships between species from genomic data must address the interwoven signals from both gene flow and incomplete lineage sorting. The heavy computational demands of standard approaches to this…

Populations and Evolution · Quantitative Biology 2021-08-05 Elizabeth S. Allman , Hector Baños , John A. Rhodes

Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities. However, when adapting these priors to complex visual modalities, often represented…

Computer Vision and Pattern Recognition · Computer Science 2023-07-12 Subin Kim , Kyungmin Lee , June Suk Choi , Jongheon Jeong , Kihyuk Sohn , Jinwoo Shin