-
INI-VPINN: A Variational Physics-Informed Neural Network with Implicit Neumann and Interface Handling for Multi-Material Domains with Geometric Singularities
http://arxiv.org/abs/2606.18032v1 · arxiv
We propose a new weak-form Physics-Informed Neural Network approach (named INI-VPINN). INI-VPINN naturally incorporates Neumann boundary and interface conditions into the variational formulation. It removes the need for additional loss terms or multiple subdomain networks. This framework employs com
-
Spectrum to all orders of Polchinski-Strominger {Effective} String Theory of Polyakov-Liouville Type
http://arxiv.org/abs/0910.5615v2 · arxiv
The spectrum of a Polchinski-Strominger type effective string theory, extended to all orders, herein called an effective string theory of the \emph{Polyakov-Liouville Type} (for obvious reasons) is investigated to all orders in the small parameter $R^{-1}$. Here $R$ is the length of the \emph{closed
-
A No-go theorem for de Sitter compactifications?
http://arxiv.org/abs/hep-th/0205056v1 · arxiv
A general framework for studying compactifications in supergravity and string theories was introduced by Candelas, Horowitz, Strominger and Witten. This was further generalised to take into account the warp factor by de Wit, Smit and Hari Dass. Though the prime focus of the latter was to find soluti
-
Context in object detection: a systematic literature review
http://arxiv.org/abs/2503.23249v1 · arxiv
Context is an important factor in computer vision as it offers valuable information to clarify and analyze visual data. Utilizing the contextual information inherent in an image or a video can improve the precision and effectiveness of object detectors. For example, where recognizing an isolated obj
-
A Brief Review of Hypernetworks in Deep Learning
http://arxiv.org/abs/2306.06955v3 · arxiv
Hypernetworks, or hypernets for short, are neural networks that generate weights for another neural network, known as the target network. They have emerged as a powerful deep learning technique that allows for greater flexibility, adaptability, dynamism, faster training, information sharing, and mod
-
A Model of Interface Growth with non-Burgers Dynamical Exponent
http://arxiv.org/abs/cond-mat/9704139v1 · arxiv
We define a new model of interface roughening which has the property that the minimum of interface height is conserved locally during the growth. This model corresponds to the limit $q \to \infty$ of the q-color dimer deposition-evaporation model introduced by us earlier [Hari Menon M K and Dhar D 1
-
Fluctuations and Higgs mechanism in Under-Doped Cuprates: a Review
http://arxiv.org/abs/1906.10146v1 · arxiv
The physics of the pseudo-gap phase of high temperature cuprate superconductors has been an enduring mystery in the past thirty years. The ubiquitous presence of the pseudo-gap phase in under-doped cuprates suggests that its understanding holds a key in unraveling the origin of high temperature supe
-
YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series
http://arxiv.org/abs/2406.19407v8 · arxiv
This review systematically examines the progression of the You Only Look Once (YOLO) object detection algorithms from YOLOv1 to the recently unveiled YOLOv12. Employing a reverse chronological analysis, this study examines the advancements introduced by YOLO algorithms, beginning with YOLOv12 and pr
-
Reformulation Techniques for Automated Planning: A Systematic Review
http://arxiv.org/abs/2301.10079v2 · arxiv
Automated planning is a prominent area of Artificial Intelligence, and an important component for intelligent autonomous agents. A cornerstone of domain-independent planning is the separation between planning logic, i.e. the automated reasoning side, and the knowledge model, that encodes a formal re
-
How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
http://arxiv.org/abs/2503.13467v2 · arxiv
Background: Metacognition has gained significant attention for its potential to enhance autonomy and adaptability of artificial agents but remains a fragmented field: diverse theories, terminologies, and design choices have led to disjointed developments and limited comparability across systems. Exi
10 hasil · 306 md