Results 51 to 60 of about 3,084 (253)

Consistency and Monotonicity Regularization for Neural Knowledge Tracing

CoRR, 2021
Knowledge Tracing (KT), tracking a human's knowledge acquisition, is a central component in online learning and AI in Education. In this paper, we present a simple, yet effective strategy to improve the generalization ability of KT models: we propose three types of novel data augmentation, coined replacement, insertion, and deletion, along with ...
Seewoo Lee, Youngduck Choi, Juneyoung Park, Byungsoo Kim 0002, Jinwoo Shin   +4 more
openaire   +2 more sources

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source

On distilling secure key from reducible private states and (non)existence of entangled key-undistillable states

New Journal of Physics, 2018
Hereunder, we study the class of irreducible private states that are private states from which all the secret content is accessible via measuring their key part.
K Horodecki, P Ćwikliński, A Rutkowski, M Studziński   +3 more
doaj   +1 more source

REGULARIZED TRACES AND TAYLOR EXPANSIONS FOR THE HEAT SEMIGROUP [PDF]

Journal of the London Mathematical Society, 2003
19 pages; Abstract changed, exposition substantially ...
Hitrik, Michael, Polterovich, Iosif
openaire   +3 more sources

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Matching Trace Patterns with Regular Policies

, 2009
We consider policies that are described by regular expressions, finite automata, or formulae of linear temporal logic (LTL). Such policies are assumed to describe situations that are problematic, and thus should be avoided. Given a trace pattern u , i.e., a sequence of action symbols and variables, were the variables stand for unknown (i.e., not ...
Baader, Franz, Bauer, Andreas, Tiu, Alwen   +2 more
openaire   +2 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

A regularized trace formula for a discontinuous Sturm-Liouville operator with delayed argument

Electronic Journal of Differential Equations, 2017
In this study, we obtain a formula for the regularized sums of eigenvalues for a Sturm-Liouville problem with delayed argument at two points of discontinuity.
Mehmet Bayramoglu, Azad Bayramov, Erdogan Sen   +2 more
doaj  

Counting and Sampling Traces in Regular Languages

Proceedings of the ACM on Programming Languages
In this work, we study the fundamental problems of counting and sampling traces that a regular language touches. Formally, one fixes the alphabet Σ and an independence relation I ⊆ Σ × Σ. The computational problems we address take as input a regular language L over Σ, presented as a finite ...
Alexis de Colnet, Kuldeep S. Meel, Umang Mathur 0001   +2 more
openaire   +2 more sources