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Deep multitask learning boosts performance by sharing learned structure across related tasks. This paper adapts ideas from deep multitask learning to the setting where only a single task is available. The method is formalized as pseudo-task…

Machine Learning · Computer Science 2018-06-13 Elliot Meyerson , Risto Miikkulainen

In this paper we shed new light on the AdS/CFT duality by interpreting the CFT as the Fourier space of AdS. We make use of well known integral geometry techniques to derive the Fourier transformation of a function defined on the AdS…

High Energy Physics - Theory · Physics 2009-03-09 Ian M. Tolfree

Model merging aims to cheaply combine individual task-specific models into a single multitask model. In this work, we view past merging methods as leveraging different notions of a ''task parameter subspace'' in which models are matched…

Machine Learning · Computer Science 2024-04-16 Derek Tam , Mohit Bansal , Colin Raffel

A deformed differential calculus is developed based on an associative star-product. In two dimensions the Hamiltonian vector fields model the algebra of pseudo-differential operator, as used in the theory of integrable systems. Thus one…

High Energy Physics - Theory · Physics 2020-12-16 I. A. B. Strachan

The residual finite-dimensionality of a $\mathrm{C}^*$-algebra is known to be encoded in a topological property of its space of representations, stating that finite-dimensional representations should be dense therein. We extend this…

Operator Algebras · Mathematics 2023-02-21 Raphaël Clouâtre , Adam Dor-On

We derive new closed form expressions for the partition functions of free conformally-coupled scalars on $S^{2D-1}\times S^1$ which resum the exact high-temperature expansion. The derivation relies on an identification of the partition…

High Energy Physics - Theory · Physics 2024-11-26 Yang Lei , Sam van Leuven

The n-point functions of any Conformal Field Theory (CFT) in $d$ dimensions can always be interpreted as spatial restrictions of corresponding functions in a higher-dimensional CFT with dimension $d'> d$. In particular, when a four-point…

High Energy Physics - Theory · Physics 2026-01-08 Ferdinando Gliozzi

The collaboration between humans and robots re-quires a paradigm shift not only in robot perception, reasoning, and action, but also in the design of the robotic cell. This paper proposes an optimization framework for designing…

Robotics · Computer Science 2024-10-21 Christian Cella , Marco Faroni , Andrea Zanchettin , Paolo Rocco

A compatible associative algebra is a vector space equipped with two associative multiplication structures that interact in a certain natural way. This article presents the classification of these algebras with dimension less than four, as…

Rings and Algebras · Mathematics 2024-12-05 Erik Mainellis , Bouzid Mosbahi , Ahmed Zahari

Quadratic surfaces gain more and more attention among the Geometric Algebra community and some frameworks were proposed in order to represent, transform, and intersect these quadratic surfaces. As far as the authors know, none of these…

Computational Geometry · Computer Science 2019-03-07 Stéphane Breuils , Vincent Nozick , Laurent Fuchs , Akihiro Sugimoto

3D Computer-Aided Design (CAD) users need to overcome several obstacles to benefit from the flexibility of programmatic interface tools. Besides the barriers of any programming language, users face challenges inherent to 3D spatial…

Human-Computer Interaction · Computer Science 2024-08-06 J. Felipe Gonzalez , Danny Kieken , Thomas Pietrzak , Audrey Girouard , Géry Casiez

We extend the conformal mapping approach elaborated for the radial Diffusion Limited Aggregation model (DLA) to the cylindrical geometry. We introduce in particular a complex function which allows to grow a cylindrical cluster using as…

Statistical Mechanics · Physics 2007-05-23 Alessandro Taloni , Emanuele Caglioti , Vittorio Loreto , Luciano Pietronero

Galilean Conformal Algebra (GCA) arises as a controlled nonrelativistic limit of the relativistic conformal algebra. In this paper, we initiate the study of momentum space correlation functions in two-dimensional GCA. We derive and solve…

High Energy Physics - Theory · Physics 2026-01-07 Anchita Chetia , Nirmalya Kajuri , Chandra Prakash

This paper introduces a novel method for compact representation of sets of n-dimensional binary sequences in a form of compact triplets structures (CTS), supposing both logic and arithmetic interpretations of data. Suitable illustration of…

Data Structures and Algorithms · Computer Science 2011-01-13 V. F. Romanov

Multi-task learning aims to improve generalization performance of multiple prediction tasks by appropriately sharing relevant information across them. In the context of deep neural networks, this idea is often realized by hand-designed…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 Yongxi Lu , Abhishek Kumar , Shuangfei Zhai , Yu Cheng , Tara Javidi , Rogerio Feris

In this PhD thesis we develop the frame work of triple crossing diagram maps (TCD maps), which describes constrained configurations of points in projective spaces and discrete dynamics on these configurations. We are able to capture the…

Combinatorics · Mathematics 2023-05-04 Niklas Christoph Affolter

To meet the demands for ubiquitous communication and temporary edge computing in 6G networks, aerial mobile edge computing (MEC) networks have been envisioned as a new paradigm. However, dynamic user requests pose challenges for task…

Networking and Internet Architecture · Computer Science 2024-10-29 Xin Tang , Qian Chen , Rong Yu , Xiaohuan Li

Descriptive region features extracted by object detection networks have played an important role in the recent advancements of image captioning. However, they are still criticized for the lack of contextual information and fine-grained…

Computer Vision and Pattern Recognition · Computer Science 2021-08-04 Yunpeng Luo , Jiayi Ji , Xiaoshuai Sun , Liujuan Cao , Yongjian Wu , Feiyue Huang , Chia-Wen Lin , Rongrong Ji

The Galilean conformal algebra has recently been realised in the study of the non-relativistic limit of the AdS/CFT conjecture. This was obtained by a systematic parametric group contraction of the parent relativistic conformal field…

High Energy Physics - Theory · Physics 2009-11-05 Arjun Bagchi , Ipsita Mandal

Collaborative problem solving (CPS) is widely recognized as a critical 21st-century skill. Assessing CPS depends heavily on coding the communication data using a construct-relevant framework, and this process has long been a major…

Human-Computer Interaction · Computer Science 2026-03-04 Jiangang Hao , Wenju Cui , Patrick Kyllonen , Emily Kerzabi , Lei Liu , Michael Flor