Results 11 to 20 of about 131,795 (285)
, 2021 AbstractWe propose the Neural Potts Model objective as an amortized optimization problem. The objective enables training a single model with shared parameters to explicitly model energy landscapes across multiple protein families. Given a protein sequence as input, the model is trained to predict a pairwise coupling matrix for a Potts model energy ...
Tom Sercu +8 more
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Identifying the Huse-Fisher universality class of the three-state chiral Potts model
Nuclear Physics B, 2021 Using the corner-transfer matrix renormalization group approach, we revisit the three-state chiral Potts model on the square lattice, a model proposed in the eighties to describe commensurate-incommensurate transitions at surfaces, and with direct ...
Samuel Nyckees +2 more
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Comment on ‘‘Antiferromagnetic Potts models’’ [PDF]
Physical Review Letters, 1993 3 pages, 10774 bytes Latex, NYU-TH-93/04 ...
Lubin, M, Sokal, AD
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Journal of High Energy Physics, 2020 The “bootstrap determination” of the geometrical correlation functions in the two-dimensional Potts model proposed in a paper by Picco et al. [1] was later shown in [2] to be incorrect, the actual spectrum of the model being considerably more complex ...
Yifei He +3 more
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Inference Tools for Markov Random Fields on Lattices: The R Package mrf2d
Journal of Statistical Software, 2022 Markov random fields on two-dimensional lattices are behind many image analysis methodologies. mrf2d provides tools for statistical inference on a class of discrete stationary Markov random field models with pairwise interaction, which includes many of ...
Victor Freguglia, Nancy Lopes Garcia
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The chiral Potts models revisited [PDF]
Journal of Statistical Physics, 1995 In honor of Onsager's ninetieth birthday, we like to review some exact results obtained so far in the chiral Potts models and to translate these results into language more transparent to physicists, so that experts in Monte Carlo calculations, high and low temperature expansions, and various other methods, can use them.
Au-Yang, Helen, Perk, Jacques H. H.
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Dualities between fermionic theories and the Potts model
Journal of High Energy Physics, 2023 We show that a large class of fermionic theories are dual to a q → 0 limit of the Potts model in the presence of a magnetic field. These can be described using a statistical model of random forests on a graph, generalizing the (unrooted) random forest ...
Vladimir Narovlansky
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Quantum symmetry on Potts model
Journal of Mathematical Physics, 2022 We formulate the notion of quantum group symmetry of the Hamiltonian corresponding to the Potts model and compute it for few simple models. Our examples illustrate how a slight change of the model parameter may result in a drastic change of the quantum symmetry group (in some cases, the classical symmetry group remains unaffected), signifying a case of
Debashish Goswami, S. K. Asfaq Hossain
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The Phonological Latching Network
Biolinguistics, 2021 This paper gives an analysis of an attractor neural network model dubbed the Phonological Latching Network. The model appears to reproduce certain quintessentially phonological phenomena, despite not having any of these phonological behaviours programmed
Joe Stephen Bratsvedal Collins
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Remote homology search with hidden Potts models.
PLoS Computational Biology, 2020 Most methods for biological sequence homology search and alignment work with primary sequence alone, neglecting higher-order correlations. Recently, statistical physics models called Potts models have been used to infer all-by-all pairwise correlations ...
Grey W Wilburn, Sean R Eddy
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