Ex Post Conditions for the Exactness of Optimal Power Flow Conic Relaxations
Jean-Luc Lupien
Convex relaxations of the optimal power flow (OPF) problem provide an efficient alternative to solving the intractable alternating current (… (see more)AC) optimal power flow. The conic subset of OPF convex relaxations, in particular, greatly accelerate resolution while leading to high-quality approximations that are exact in several scenarios. However, the sufficient conditions guaranteeing exactness are stringent, e.g., requiring radial topologies. In this short communication, we present two equivalent ex post conditions for the exactness of any conic relaxation of the OPF. These rely on obtaining either a rank-1 voltage matrix or self-coherent cycles. Instead of relying on sufficient conditions a priori, satisfying one of the presented ex post conditions acts as an exactness certificate for the computed solution. The operator can therefore obtain an optimality guarantee when solving a conic relaxation even when a priori exactness requirements are not met. Finally, we present numerical examples from the MATPOWER library where the ex post conditions hold even though the exactness sufficient conditions do not, thereby illustrating the use of the conditions.
Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Brice Rauby
Paul Xing
Jonathan Porée
Jean Provost
Robust prior-biased acquisition function for human-in-the-loop Bayesian optimization
Rose Guay-Hottin
Lison Kardassevitch
Hugo Pham
Spinal cord demyelination predicts neurological deterioration in patients with mild degenerative cervical myelopathy
Abdul Al-Shawwa
Michael Craig
Kalum Ost
David Anderson
Steven Casha
W. Bradley Jacobs
Nathan Evaniew
Saswati Tripathy
Jacques Bouchard
Peter Lewkonia
Fred Nicholls
Alex Soroceanu
Ganesh Swamy
Kenneth C. Thomas
Stephan duPlessis
Michael M.H. Yang
Nicholas Dea
Jefferson R. Wilson
David W. Cadotte
A stochastic integer programming approach to reserve staff scheduling with preferences
Carl Perreault‐Lafleur
Guy Desaulniers
Towards contrast-agnostic soft segmentation of the spinal cord
Sandrine Bédard
Enamundram Naga Karthik
Charidimos Tsagkas
Emanuele Pravatà
Cristina Granziera
Andrew C. Smith
Kenneth Arnold Weber
Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord cross-sectional area (CSA) for the diagnosis and … (see more)monitoring of cord compression or neurodegenerative diseases such as multiple sclerosis. While several semi and automatic methods exist, one key limitation remains: the segmentation depends on the MRI contrast, resulting in different CSA across contrasts. This is partly due to the varying appearance of the boundary between the spinal cord and the cerebrospinal fluid that depends on the sequence and acquisition parameters. This contrast-sensitive CSA adds variability in multi-center studies where protocols can vary, reducing the sensitivity to detect subtle atrophies. Moreover, existing methods enhance the CSA variability by training one model per contrast, while also producing binary masks that do not account for partial volume effects. In this work, we present a deep learning-based method that produces soft segmentations of the spinal cord. Using the Spine Generic Public Database of healthy participants (
Unsupervised Test-Time Adaptation for Hepatic Steatosis Grading Using Ultrasound B-Mode Images.
Pedro Vianna
Paria Mehrbod
Muawiz Chaudhary
Michael Eickenberg
An Tang
Guy Cloutier
Ultrasound is considered a key modality for the clinical assessment of hepatic steatosis (i.e., fatty liver) due to its non-invasiveness and… (see more) availability. Deep learning methods have attracted considerable interest in this field, as they are capable of learning patterns in a collection of images and achieve clinically comparable levels of accuracy in steatosis grading. However, variations in patient populations, acquisition protocols, equipment, and operator expertise across clinical sites can introduce domain shifts that reduce model performance when applied outside the original training setting. In response, unsupervised domain adaptation techniques are being investigated to address these shifts, allowing models to generalize more effectively across diverse clinical environments. In this work, we propose a test-time batch normalization technique designed to handle domain shift, especially for changes in label distribution, by adapting selected features of batch normalization layers in a trained convolutional neural network model. This approach operates in an unsupervised manner, allowing robust adaptation to new distributions without access to label data. The method was evaluated on two abdominal ultrasound datasets collected at different institutions, assessing its capability in mitigating domain shift for hepatic steatosis classification. The proposed method reduced the mean absolute error in steatosis grading by 37% and improved the area under the receiver operating characteristic curve for steatosis detection from 0.78 to 0.97, compared to non-adapted models. These findings demonstrate the potential of the proposed method to address domain shift in ultrasound-based hepatic steatosis diagnosis, minimizing risks associated with deploying trained models in various clinical settings.
The Romantic Historicism and The Rise of the Historical Novel in the 19th Century Romanian Literature
Medium-scale flexible integrated circuits based on 2D semiconductors
Yalin Peng
Chenyang Cui
Lu Li
Yuchen Wang
Qinqin Wang
Jinpeng Tian
Zhiheng Huang
Biying Huang
Yangkun Zhang
Xiuzhen Li
Yanbang Chu
Wei Yang
Dongxia Shi
Luojun Du
Na Li
Guangyu Zhang
Sliding ferroelectric memories and synapses based on rhombohedral-stacked bilayer MoS2
Xiuzhen Li
Biao Qin
Yaxian Wang
Yue Xi
Zhiheng Huang
Mengze Zhao
Yalin Peng
Zitao Chen
Zitian Pan
Jundong Zhu
Chenyang Cui
Rong Yang
Wei Yang
Sheng Meng
Dongxia Shi
Xuedong Bai
Can Liu
Na Li
Kaihui Liu … (see 3 more)
Kai-Wen Liu
Luojun Du
Guangyu Zhang
AfriHG: News headline generation for African Languages
Toyib Ogunremi
Serah Akojenu
Anthony Soronnadi
Olubayo Adekanmbi
This paper introduces AfriHG -- a news headline generation dataset created by combining from XLSum and MasakhaNEWS datasets focusing on 16 l… (see more)anguages widely spoken by Africa. We experimented with two seq2eq models (mT5-base and AfriTeVa V2), and Aya-101 LLM. Our results show that Africa-centric seq2seq models such as AfriTeVa V2 outperform the massively multilingual mT5-base model. Finally, we show that the performance of fine-tuning AfriTeVa V2 with 313M parameters is competitive to prompting Aya-101 LLM with more than 13B parameters.
The design and technology development of the JUNO central detector
Angel Abusleme
Thomas Adam
Shakeel Ahmad
Rizwan Ahmed
Sebastiano Aiello
Muhammad Akram
Abid Aleem
Tsagkarakis Alexandros
Fengpeng An
Qi An
Giuseppe Andronico
Nikolay Anfimov
Vito Antonelli
Tatiana Antoshkina
Burin Asavapibhop
J. D. de André
João Pedro Athayde Marcondes de André
Didier Auguste
Weidong Bai
Nikita Balashov … (see 616 more)
Wander Baldini
Andrea Barresi
Davide Basilico
Eric Baussan
Marco Bellato
Marco Beretta
Antonio Bergnoli
Daniel Bick
Thilo Birkenfeld
David Blum
Simon Blyth
Anastasia Bolshakova
Mathieu Bongrand
Clément Bordereau
Dominique Breton
Augusto Brigatti
Riccardo Brugnera
Riccardo Bruno
Antonio Budano
Jose Busto
Anatael Cabrera
Barbara Caccianiga
Hao Cai
Xiao Cai
Yanke Cai
Zhiyan Cai
Z. Cai
Stéphane Callier
Antonio Cammi
Agustin Campeny
Chuanya Cao
C. Cao
Guofu Cao
Jun Cao
Rossella Caruso
Cédric Cerna
Vanessa Cerrone
Chi Chan
Jinfan Chang
Yun Chang
Guoming Chen
Pingping Chen
Shaomin Chen
Yixue Chen
Yu Chen
Zhiyuan Chen
Zikang Chen
Jie Cheng
Yaping Cheng
Yu Chin Cheng
Yuanyuan Zhang
Alexander Chepurnov
Alexey Chetverikov
Davide Chiesa
Pietro Chimenti
Ziliang Chu
Artem Chukanov
Gérard Claverie
Catia Clementi
Barbara Clerbaux
Marta Colomer Molla
Selma Conforti Di Lorenzo
Alberto Coppi
Daniele Corti
Flavio Dal Corso
Olivia Dalager
Christophe De La Taille
Zhi Deng
Ziyan Deng
Wilfried Depnering
Marco Diaz
Xuefeng Ding
Yayun Ding
Bayu Dirgantara
Sergey Dmitrievsky
Tadeas Dohnal
Dmitry Dolzhikov
Georgy Donchenko
Jianmeng Dong
Evgeny Doroshkevich
Wei Dou
Marcos Dracos
Frédéric Druillole
Ran Du
S. X. Du
Shuxian Du
Stefano Dusini
Hongyue Duyang
Timo Enqvist
Andrea Fabbri
Ulrike Fahrendholz
Lei Fan
Jian Fang
Wenxing Fang
Marco Fargetta
Dmitry Fedoseev
Zhengyong Fei
Li-Cheng Feng
Qichun Feng
Federico Ferraro
Amélie Fournier
H. Gan
Haonan Gan
Feng Gao
Alberto Garfagnini
Arsenii Gavrikov
Marco Giammarchi
Nunzio Giudice
Maxim Gonchar
Guanghua Gong
Hui Gong
Yuri Gornushkin
Alexandre Göttel
A. Gottel
Marco Grassi
Maxim Gromov
Vasily Gromov
Minghao Gu
Xiaofei Gu
X. Gu
Yu Gu
Yunting Gu
Mengyun Guan
M. Guan
Yuduo Guan
Nunzio Guardone
Cong Guo
Wanlei Guo
Xinheng Guo
Yuhang Guo
Caren Hagner
Ran Han
Yang Han
Jiajun Hao
Miao He
Wei He
Tobias Heinz
Patrick Hellmuth
Yuekun Heng
Rafael Herrera
YuenKeung Hor
Y. Hor
Shaojing Hou
Yee Hsiung
Bei-Zhen Hu
Hang Hu
Jianrun Hu
Jun Hu
Shouyang Hu
Tao Hu
Yuxiang Hu
Zhuojun Hu
Guihong Huang
Hanxiong Huang
Kaixi Huang
Kaixuan Huang
Wenhao Huang
Xin Huang
Xingtao Huang
Yongbo Huang
Jiaqi Hui
Lei Huo
Wenju Huo
Cédric Huss
Safeer Hussain
Ara Ioannisian
Roberto Isocrate
Beatrice Jelmini
Ignacio Jeria
Xiaolu Ji
Huihui Jia
Junji Jia
Siyu Jian
Di Jiang
Wei Jiang
Xiaoshan Jiang
Xiaoping Jing
X. Jing
Cécile Jollet
Philipp Kampmann
Li Kang
Rebin Karaparambil
Narine Kazarian
Ali Khan
Amina Khatun
Khanchai Khosonthongkee
Denis Korablev
Konstantin Kouzakov
Alexey Krasnoperov
Nikolay Kutovskiy
Pasi Kuusiniemi
Tobias Lachenmaier
Cecilia Landini
Sébastien Leblanc
Victor Lebrin
Frederic Lefevre
Rui Li
Rupert Leitner
Jason Leung
Daozheng Li
Demin Li
Fei Li
Yi Wang
Fule Li
Gaosong Li
Huiling Li
Mengzhao Li
Min Li
Nan Li
Qingjiang Li
Ruhui Li
Ruiting Lei
Shanfeng Li
Tao Li
Teng Li
Weidong Li
Weiguo Li
Xiaomei Li
Xiaonan Li
Xinglong Li
Xiwen Li
Yi Li
Yichen Li
Yufeng Li
Zepeng Li
Zhaohan Li
Zhibing Li
Ziyuan Li
Zonghai Li
Hao Liang
Jiaming Yan
Jiajun Liao
Ayut Limphirat
Guey-Lin Lin
Shengxin Lin
Tao Lin
Jiajie Ling
Ivano Lippi
Caimei Liu
Yang Liu
Haidong Liu
Haotian Liu
Hongbang Liu
Hongjuan Liu
Hongtao Liu
Hui Liu
Jianglai Liu
Jinchang Liu
Min Liu
Qian Liu
Qin Liu
Runxuan Liu
Shubin Liu
Shulin Liu
Xiaowei Liu
Xiwen Liu
Yan Liu
Yunzhe Liu
Alexey Lokhov
Paolo Lombardi
Claudio Lombardo
Kai Loo
Chuan Lu
Haoqi Lu
Jingbin Lu
Junguang Lu
Peizhi Lu
Shuxiang Lu
Bayarto Lubsandorzhiev
Sultim Lubsandorzhiev
Livia Ludhova
Arslan Lukanov
Daibin Luo
F. Luo
Fengjiao Luo
Guang Luo
Jianyi Luo
Shu Luo
Wuming Luo
Xiaojie Luo
Xiaolan Luo
Vladimir Lyashuk
B. Ma
Bing Ma
Bangzheng Ma
R. Q. Ma
Si Ma
Qiumei Ma
Xiaoyan Ma
Xubo Ma
Jihane Maalmi
Marco Magoni
Jingyu Mai
Yury Malyshkin
Roberto Carlos Mandujano
Fabio Mantovani
Xin Mao
Yajun Mao
S. Mari
Stefano M. Mari
Filippo Marini
Agnese Martini
Matthias Mayer
Davit Mayilyan
Ints Mednieks
Yu Meng
Anita Meraviglia
Anselmo Meregaglia
Emanuela Meroni
David Meyhöfer
Mauro Mezzetto
Lino Miramonti
Paolo Montini
Michele Montuschi
Axel Muller
M. Nastasi
Massimiliano Nastasi
Dmitry V. Naumov
Elena Naumova
Diana Navas-Nicolas
Igor Nemchenok
Minh Thuan Nguyen Thi
Alexey Nikolaev
F. Ning
Feipeng Ning
Zhe Ning
Hiroshi Nunokawa
Lothar Oberauer
Juan Pedro Ochoa-Ricoux
Alexander Olshevskiy
Domizia Orestano
Fausto Ortica
Rainer Othegraven
A. Paoloni
Alessandro Paoloni
Sergio Parmeggiano
Y. P. Pei
Yatian Pei
Luca Pelicci
Anguo Peng
Yu Peng
Haiping Peng
Yuefeng Peng
Z-R Peng
Frédéric Perrot
Zhaoyuan Peng
P. Petitjean
Pierre-Alexandre Petitjean
Fabrizio Petrucci
Oliver Pilarczyk
Luis Felipe Piñeres Rico
Artyom Popov
Pascal Poussot
Ezio Previtali
Fazhi Qi
Ming Qi
Sen Qian
Xiaohui Qian
Zhen Qian
Hao Qiao
Zhonghua Qin
S. Qiu
Shoukang Qiu
Gioacchino Ranucci
Reem Rasheed
A. Re
Alessandra Re
Abdel Rebii
Mariia Redchuk
Bin Ren
Jie Ren
Barbara Ricci
Mariam Rifai
Mathieu Roche
Narongkiat Rodphai
Aldo Romani
Bedřich Roskovec
Xichao Ruan
Arseniy Rybnikov
Andrey Sadovsky
Paolo Saggese
Simone Sanfilippo
Anut Sangka
Utane Sawangwit
Julia Sawatzki
Michaela Schever
Cédric Schwab
Konstantin Schweizer
Alexandr Selyunin
Andrea Serafini
Giulio Settanta
M. Settimo
Zhuang Shao
Mariangela Settimo
V. Sharov
Arina Shaydurova
Vladislav Sharov
Jingyan Shi
Yanan Shi
Vitaly Shutov
Andrey Sidorenkov
Fedor Šimkovic
Chiara Sirignano
Jaruchit Siripak
Monica Sisti
Maciej Slupecki
Mikhail Smirnov
Oleg Smirnov
Thiago Sogo-Bezerra
Sergey Sokolov
Wuying Song
Julanan Songwadhana
Boonrucksar Soonthornthum
Albert Sotnikov
Ondřej Šrámek
Warintorn Sreethawong
Achim Stahl
Luca Stanco
Konstantin Stankevich
Dušan Štefánik
Hans Steiger
Jochen Steinmann
Tobias Sterr
M. Stock
Virginia Strati
Matthias Raphael Stock
Alexander Studenikin
Jun Su
Shifeng Sun
Xilei Sun
Yongjie Sun
Yongzhao Sun
Zhengyang Sun
Narumon Suwonjandee
Michal Szelezniak
Akira Takenaka
Qiang Tang
Quan Tang
Xiao Tang
Vidhya Thara Hariharan
Eric Theisen
Alexander Tietzsch
Igor Tkachev
Tomas Tmej
M. Torri
Francesco Tortorici
Marco Danilo Claudio Torri
K. Treskov
Andrea Triossi
Konstantin Treskov
Riccardo Triozzi
Giancarlo Troni
Wladyslaw Trzaska
Y. Tung
Cristina Tuve
Nikita Ushakov
Yu-Chen Tung
Vadim Vedin
Giuseppe Verde
Maxim Vialkov
Benoit Viaud
Cornelius Moritz Vollbrecht
Katharina von Sturm
Vit Vorobel
Dmitriy Voronin
Lucia Votano
Pablo Walker
Caishen Wang
Chung-Hsiang Wang
Derun Wang
En Wang
Guoli Wang
Jian Wang
Jun Wang
Lucinda W. Wang
Meng Wang
Ruiguang Wang
Lu Wang
Siguang Wang
Wei Wang
Wenshuai Wang
Xi Wang
Xiangyue Wang
Yangfu Wang
Yaoguang Wang
Yi Xing Wang
Yifang Wang
Yuanqing Wang
Yuman Wang
Zhe Wang
Zheng Wang
Zhimin Wang
Apimook Watcharangkool
Wei Wei
Wenlu Wei
Yadong Wei
K. Wen
Kaile Wen
Jun Weng
Christopher Wiebusch
Rosmarie Wirth
Bjoern Wonsak
Liangjian Wen
Diru Wu
Qun Wu
Shuai Wu
Zhi Wu
Michael Wurm
Jacques Wurtz
Christian Wysotzki
Yufei Xi
Dongmei Xia
Xiang Xiao
Xiaochuan Xie
Yuguang Xie
Zhangquan Xie
Zhao Xin
Zhizhong Xing
Benda Xu
Cheng Xu
Donglian Xu
Fanrong Xu
Hangkun Xu
Jilei Xu
Jing Xu
Meihang Xu
Yin Xu
Yu Xu
Baojun Yan
Qiyu Yan
Taylor Yan
Wenqi Yan
Xiongbo Yan
Yupeng Yan
Changgen Yang
Chengfeng Yang
Jie Yang
Lei Yang
Xiaoyu Yang
Yifan Yang
Haifeng Yao
Jiaxuan Ye
Mei Ye
Ziping Ye
Frédéric Yermia
Zhengyun You
Boxiang Yu
Chiye Yu
Chunxu Yu
Guojun Yu
Hongzhao Yu
Miao Yu
Xianghui Yu
Zeyuan Yu
Zezhong Yu
Cenxi Yuan
Chengzhuo Yuan
Jing-Yu Tang
Zhenxiong Yuan
Baobiao Yue
Noman Zafar
Vitalii Zavadskyi
Shan Zeng
Tingxuan Zeng
Yuda Zeng
Liang Zhan
Aiqiang Zhang
Bin Zhang
Binting Zhang
Feiyang Zhang
Honghao Zhang
Jiawen Zhang
Jie Zhang
Jin Zhang
Jingbo Zhang
Jinnan Zhang
Mohan Zhang
Peng Zhang
Qingmin Zhang
Shiqi Zhang
Shu Zhang
Tao Zhang
Xiaomei Zhang
Xin Zhang
Xuantong Zhang
Yinhong Zhang
Yiyu Zhang
Yongpeng Zhang
Yu Zhang
Yumei Zhang
Zhenyu Zhang
Zhijian Zhang
Jie Zhao
Rong Zhao
Runze Zhao
Shujun Zhao
Dongqin Zheng
Hua Zheng
Yangheng Zheng
Weirong Zhong
Jing Zhou
Li Zhou
Nan Zhou
Shun Zhou
Tong Zhou
Xiang Zhou
Jingsen Zhu
Kangfu Zhu
Kejun Zhu
Zhihang Zhu
Bo Zhuang
Honglin Zhuang
Liang Zong
Jiaheng Zou
Sebastian Zwickel