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Although artificial intelligence (AI) has made significant progress in understanding molecules in a wide range of fields, existing models generally acquire the single cognitive ability from the single molecular modality. Since the hierarchy…

Machine Learning · Computer Science 2022-09-14 Bing Su , Dazhao Du , Zhao Yang , Yujie Zhou , Jiangmeng Li , Anyi Rao , Hao Sun , Zhiwu Lu , Ji-Rong Wen

The objective of this paper is to design novel multi-layer neural network architectures for multiscale simulations of flows taking into account the observed data and physical modeling concepts. Our approaches use deep learning concepts…

Numerical Analysis · Mathematics 2018-06-14 Yating Wang , Siu Wun Cheung , Eric T. Chung , Yalchin Efendiev , Min Wang

Humans are able to conceive physical reality by jointly learning different facets thereof. To every pair of notions related to a perceived reality may correspond a mutual relation, which is a notion on its own, but one-level higher. Thus,…

Artificial Intelligence · Computer Science 2019-08-19 Luka Nenadović , Vladimir Prelovac

Recurrent neural networks can learn complex transduction problems that require maintaining and actively exploiting a memory of their inputs. Such models traditionally consider memory and input-output functionalities indissolubly entangled.…

Machine Learning · Computer Science 2018-11-09 Davide Bacciu , Antonio Carta , Alessandro Sperduti

We define a notion of symmetric monoidal closed (SMC) theory, consisting of a SMC signature augmented with equations, and describe the classifying categories of such theories in terms of proof nets.

Logic in Computer Science · Computer Science 2009-06-08 Richard Garner , Tom Hirschowitz , Aurélien Pardon

This article examines recent research in molecular communications from a telecommunications system design perspective. In particular, it focuses on channel models and state-of-the-art physical layer techniques. The goal is to provide a…

Emerging Technologies · Computer Science 2015-07-28 Weisi Guo , Taufiq Asyhari , Nariman Farsad , H. Birkan Yilmaz , Bin Li , Andrew Eckford , Chan-Byoung Chae

We show that large language models (LLMs) exhibit an $\textit{internal chain-of-thought}$: they sequentially decompose and execute composite tasks layer-by-layer. Two claims ground our study: (i) distinct subtasks are learned at different…

Computation and Language · Computer Science 2025-09-30 Zhipeng Yang , Junzhuo Li , Siyu Xia , Xuming Hu

Our experience of the world is multimodal - we see objects, hear sounds, feel texture, smell odors, and taste flavors. Modality refers to the way in which something happens or is experienced and a research problem is characterized as…

Machine Learning · Computer Science 2017-08-02 Tadas Baltrušaitis , Chaitanya Ahuja , Louis-Philippe Morency

Retrosynthesis analysis is a critical task in organic chemistry central to many important industries. Previously, various machine learning approaches have achieved promising results on this task by representing output molecules as strings…

Quantitative Methods · Quantitative Biology 2022-09-20 Lei Fang , Junren Li , Ming Zhao , Li Tan , Jian-Guang Lou

This is the first of a pair of papers where we construct and investigate a closed monoidal structure on the category of generalized algebraic theories (in the sense of Cartmell). In the present text, as a starting point, we define the…

Category Theory · Mathematics 2025-11-18 Daniel Almeida

Polyploidization is an evolutionary process by which a species acquires multiple copies of its complete set of chromosomes. The reticulate nature of the signal left behind by it means that phylogenetic networks offer themselves as a…

Populations and Evolution · Quantitative Biology 2023-02-21 Katharina T. Huber , Liam J. Maher

The use of patent citation networks as research tools is becoming increasingly commonplace in the field of innovation studies. However, these networks rarely consider the contexts in which these citations are generated and are generally…

Physics and Society · Physics 2022-05-17 Kyle Higham , Martina Contisciani , Caterina De Bacco

A partitioned process theory, as defined by Coecke, Fritz, and Spekkens, is a symmetric monoidal category together with an all-object-including symmetric monoidal subcategory. We think of the morphisms of this category as processes, and the…

Logic in Computer Science · Computer Science 2015-11-06 Brendan Fong , Hugo Nava-Kopp

Inter-layer synchronization is a distinctive process of multiplex networks whereby each node in a given layer undergoes a synchronous evolution with all its replicas in other layers, irrespective of whether or not it is synchronized with…

Adaptation and Self-Organizing Systems · Physics 2021-05-31 R. Sevilla-Escoboza , I. Sendiña-Nadal , I. Leyva , R. Gutiérrez , J. M. Buldú , S. Boccaletti

We present here definitions and constructions basic for the theory of monoidal and tensor categories. We provide references to the original sources, whenever possible. Group-theoretical categories are used as examples

Category Theory · Mathematics 2023-11-13 Alexei Davydov

We describe a simple scheme for constructing finitely generated monoids in which left-divisibility is a linear ordering and for practically investigating these monoids. The approach is based on subword reversing, a general method of…

Group Theory · Mathematics 2012-05-09 Patrick Dehornoy

The concept of_refinement_ in type theory is a way of reconciling the "intrinsic" and the "extrinsic" meanings of types. We begin with a rigorous analysis of this concept, settling on the simple conclusion that the type-theoretic notion of…

Logic in Computer Science · Computer Science 2013-10-02 Paul-André Melliès , Noam Zeilberger

Reasoning has become a central capability in large language models. Recent research has shown that reasoning performance can be improved by looping an LLM's layers in the latent dimension, resulting in looped reasoning language models.…

Rewriting systems on words are very useful in the study of monoids. In good cases, they give finite presentations of the monoids, allowing their manipulation by a computer. Even better, when the presentation is confluent and terminating,…

Formal Languages and Automata Theory · Computer Science 2010-05-02 Samuel Mimram

Differential Linear Logic enriches Linear Logic with additional logical rules for the exponential connectives, dual to the usual rules of dereliction, weakening and contraction. We present a proof-net syntax for Differential Linear Logic…

Logic in Computer Science · Computer Science 2016-06-07 Thomas Ehrhard
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