Bayesian Nonparametrics for Sparse Dynamic Networks
Naik, C
Caron, F
Rousseau, J
Teh, Y
Palla, K
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume 13717 LNAI
191-206
(17 Mar 2023)
doi:10.1007/978-3-031-26419-1_12
Bayesian Nonparametrics for Sparse Dynamic Networks
Naik, C
Caron, F
Rousseau, J
Teh, Y
Palla, K
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume 13717 LNAI
191-206
(17 Mar 2023)
doi:10.1007/978-3-031-26419-1_12
Bayesian Nonparametrics for Sparse Dynamic Networks
Naik, C
Caron, F
Rousseau, J
Teh, Y
Palla, K
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume 13717 LNAI
191-206
(17 Mar 2023)
doi:10.1007/978-3-031-26419-1_12
Tue, 25 Apr 2023
14:00 -
15:00
L5
Pancyclicity of highly-connected graphs
Shoham Letzter
(University College London)
Abstract
A classic result of Chvatál and Erdős (1972) asserts that, if the vertex-connectivity of a graph G is at least as large as its independence number, then G has a Hamilton cycle. We prove a similar result, implying that a graph G is pancyclic, namely it contains cycles of all lengths between 3 and |G|: we show that if |G| is large and the vertex-connectivity of G is larger than its independence number, then G is pancyclic. This confirms a conjecture of Jackson and Ordaz (1990) for large graphs.
Snowmass Theory Frontier: Effective Field Theory
Baumgart, M
Bishara, F
Brauner, T
Brod, J
Cabass, G
Cohen, T
Craig, N
Rham, C
Draper, P
Fitzpatrick, A
Gorbahn, M
Hartnoll, S
Ivanov, M
Kovtun, P
Kundu, S
Lewandowski, M
Liu, H
Lu, X
Mezei, M
Mirbabayi, M
Moldanazarova, U
Nicolis, A
Penco, R
Goldberger, W
Reece, M
Rodd, N
Rothstein, I
Shao, S
Shepherd, W
Simonovic, M
Solon, M
Son, D
Szafron, R
Tolley, A
Zhang, Z
Zhou, S
Zupan, J
(06 Oct 2022)
https://arxiv.org/abs/2210.03199v1
Phases of Wilson Lines in Conformal Field Theories
Aharony, O
Cuomo, G
Komargodski, Z
Mezei, M
Raviv-Moshe, A
(21 Nov 2022)
https://arxiv.org/abs/2211.11775v3
The volume of the black hole interior at late times
Iliesiu, L
Mezei, M
Sárosi, G
Journal of High Energy Physics
volume 2022
issue 7
(12 Jul 2022)
doi:10.1007/jhep07(2022)073
Effective description of sub-maximal chaos: stringy effects for SYK scrambling
Choi, C
Haehl, F
Mezei, M
Sárosi, G
Journal of High Energy Physics
volume 2023
issue 3
(20 Mar 2023)
doi:10.1007/jhep03(2023)142
Phases of Wilson Lines in Conformal Field Theories
Aharony, O
Cuomo, G
Komargodski, Z
Mezei, M
Raviv-Moshe, A
Physical Review Letters
volume 130
issue 15
(12 Apr 2023)
doi:10.1103/physrevlett.130.151601
PDE-constrained models with neural network terms: Optimization and global convergence
Sirignano, J
MacArt, J
Spiliopoulos, K
Journal of Computational Physics
volume 481
112016
(May 2023)
doi:10.1016/j.jcp.2023.112016