Search Results - "Sanchez, Ramses J"
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1
Switching Dynamical Systems with Deep Neural Networks
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10-01-2021)“…The problem of uncovering different dynamical regimes is of pivotal importance in time series analysis. Switching dynamical systems provide a solution for…”
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Conference Proceeding -
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Auto Encoding Explanatory Examples with Stochastic Paths
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10-01-2021)“…In this paper we ask for the main factors that determine a classifier's decision making process and uncover such factors by studying latent codes produced by…”
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Conference Proceeding -
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Interaction-induced persistent-current enhancement in frustrated bosonic systems
Published in Physical review. A, Atomic, molecular, and optical physics (13-07-2015)Get full text
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Recurrent Point Review Models
Published in 2020 International Joint Conference on Neural Networks (IJCNN) (01-07-2020)“…Deep neural network models represent the state-of-the-art methodologies for natural language processing. Here we build on top of these methodologies to…”
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Conference Proceeding -
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Neural Markov Jump Processes
Published 31-05-2023“…Markov jump processes are continuous-time stochastic processes with a wide range of applications in both natural and social sciences. Despite their widespread…”
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Foundation Inference Models for Markov Jump Processes
Published 10-06-2024“…Markov jump processes are continuous-time stochastic processes which describe dynamical systems evolving in discrete state spaces. These processes find wide…”
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7
Dynamic Review-based Recommenders
Published 27-10-2021“…Just as user preferences change with time, item reviews also reflect those same preference changes. In a nutshell, if one is to sequentially incorporate review…”
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Recurrent Point Review Models
Published 10-12-2020“…2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-8 Deep neural network models represent the…”
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Recurrent Point Processes for Dynamic Review Models
Published 09-12-2019“…Recent progress in recommender system research has shown the importance of including temporal representations to improve interpretability and performance…”
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Neural Dynamic Focused Topic Model
Published 26-01-2023“…Topic models and all their variants analyse text by learning meaningful representations through word co-occurrences. As pointed out by Williamson et al…”
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The future is different: Large pre-trained language models fail in prediction tasks
Published 01-11-2022“…Large pre-trained language models (LPLM) have shown spectacular success when fine-tuned on downstream supervised tasks. Yet, it is known that their performance…”
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Foundational Inference Models for Dynamical Systems
Published 12-02-2024“…Dynamical systems governed by ordinary differential equations (ODEs) serve as models for a vast number of natural and social phenomena. In this work, we offer…”
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Hidden Schema Networks
Published 08-07-2022“…Large, pretrained language models infer powerful representations that encode rich semantic and syntactic content, albeit implicitly. In this work we introduce…”
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14
Finite-size anomalies of the Drude weight: role of symmetries and ensembles
Published 02-12-2017“…Phys. Rev. B 96, 245117 (2017) We revisit the subtelties of computing the high temperature spin stiffness $D$ of the spin-$1/2$ XXZ chain using exact…”
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Anomalous and regular transport in spin 1/2 chains: AC conductivity
Published 05-03-2018“…Phys. Rev. B 98, 054415 (2018) We study magnetization transport in anisotropic spin-$1/2$ chains governed by the integrable XXZ model with and without…”
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Recurrent Adversarial Service Times
Published 24-06-2019“…Service system dynamics occur at the interplay between customer behaviour and a service provider's response. This kind of dynamics can effectively be modeled…”
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Journal Article