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of 11 304
pro vyhledávání: '"de Campos P"'
Autor:
Loconte, Lorenzo, Mari, Antonio, Gala, Gennaro, Peharz, Robert, de Campos, Cassio, Quaeghebeur, Erik, Vessio, Gennaro, Vergari, Antonio
This paper establishes a rigorous connection between circuit representations and tensor factorizations, two seemingly distinct yet fundamentally related areas. By connecting these fields, we highlight a series of opportunities that can benefit both c
Externí odkaz:
http://arxiv.org/abs/2409.07953
We introduce Nerva, a fast neural network library under development in C++. It supports sparsity by using the sparse matrix operations of Intel's Math Kernel Library (MKL), which eliminates the need for binary masks. We show that Nerva significantly
Externí odkaz:
http://arxiv.org/abs/2407.17437
Autor:
de Campos, Aline, Melegati, Jorge, Nascimento, Nicolas, Chanin, Rafael, Sales, Afonso, Wiese, Igor
Generative Artificial Intelligence (GenAI) has become an emerging technology with the availability of several tools that could impact Software Engineering (SE) activities. As any other disruptive technology, GenAI led to the speculation that its full
Externí odkaz:
http://arxiv.org/abs/2406.09725
Probabilistic integral circuits (PICs) have been recently introduced as probabilistic models enjoying the key ingredient behind expressive generative models: continuous latent variables (LVs). PICs are symbolic computational graphs defining continuou
Externí odkaz:
http://arxiv.org/abs/2406.06494
Autor:
Bogdoll, Daniel, Hamdard, Iramm, Rößler, Lukas Namgyu, Geisler, Felix, Bayram, Muhammed, Wang, Felix, Imhof, Jan, de Campos, Miguel, Tabarov, Anushervon, Yang, Yitian, Gottschalk, Hanno, Zöllner, J. Marius
The scale-up of autonomous vehicles depends heavily on their ability to deal with anomalies, such as rare objects on the road. In order to handle such situations, it is necessary to detect anomalies in the first place. Anomaly detection for autonomou
Externí odkaz:
http://arxiv.org/abs/2405.07865
Probabilistic Circuits (PCs) are prominent tractable probabilistic models, allowing for a range of exact inferences. This paper focuses on the main algorithm for training PCs, LearnSPN, a gold standard due to its efficiency, performance, and ease of
Externí odkaz:
http://arxiv.org/abs/2403.14504
This work addresses integrating probabilistic propositional logic constraints into the distribution encoded by a probabilistic circuit (PC). PCs are a class of tractable models that allow efficient computations (such as conditional and marginal proba
Externí odkaz:
http://arxiv.org/abs/2403.13125
Personalization generally improves the performance of queries but in a few cases it may also harms it. If we are able to predict and therefore to disable personalization for those situations, the overall performance will be higher and users will be m
Externí odkaz:
http://arxiv.org/abs/2401.13351
Publikováno v:
Information Sciences 2018
In this paper, we examine the problem of building a user profile from a set of documents. This profile will consist of a subset of the most representative terms in the documents that best represent user preferences or interests. Inspired by the discr
Externí odkaz:
http://arxiv.org/abs/2401.10963
In the information age we are living in today, not only are we interested in accessing multimedia objects such as documents, videos, etc. but also in searching for professional experts, people or celebrities, possibly for professional needs or just f
Externí odkaz:
http://arxiv.org/abs/2401.10634