Zobrazeno 1 - 10
of 4 295
pro vyhledávání: '"A. Nègre"'
This paper explores the integration of ring attractors, a mathematical model inspired by neural circuit dynamics, into the reinforcement learning (RL) action selection process. Ring attractors, as specialized brain-inspired structures that encode spa
Externí odkaz:
http://arxiv.org/abs/2410.03119
Autor:
Zhong, Jinfeng, Negre, Elsa
Recommender systems aim to help users find relevant items more quickly by providing personalized recommendations. Explanations in recommender systems help users understand why such recommendations have been generated, which in turn makes the system m
Externí odkaz:
http://arxiv.org/abs/2407.02065
Autor:
Zollicoffer, Geigh, Bhatta, Kshitij, Bhattarai, Manish, Romero, Phil, Negre, Christian F. A., Niklasson, Anders M. N., Adedoyin, Adetokunbo
In this paper, we introduce innovative approaches for accelerating the Jacobi method for matrix diagonalization, specifically through the formulation of large matrix diagonalization as a Semi-Markov Decision Process and small matrix diagonalization a
Externí odkaz:
http://arxiv.org/abs/2407.00779
Autor:
Bhatta, Kshitij, Zollicoffer, Geigh, Bhattarai, Manish, Romero, Phil, Negre, Christian F. A., Niklasson, Anders M. N., Adedoyin, Adetokunbo
This paper introduces a novel framework for matrix diagonalization, recasting it as a sequential decision-making problem and applying the power of Decision Transformers (DTs). Our approach determines optimal pivot selection during diagonalization wit
Externí odkaz:
http://arxiv.org/abs/2406.16191
Autor:
Zhong, Jinfeng, Negre, Elsa
Factorization-based models have gained popularity since the Netflix challenge {(2007)}. Since that, various factorization-based models have been developed and these models have been proven to be efficient in predicting users' ratings towards items. A
Externí odkaz:
http://arxiv.org/abs/2405.08131
Autor:
Fattebert, Jean-Luc, Negre, Christian F. A., Finkelstein, Joshua, Mohd-Yusof, Jamaludin, Osei-Kuffuor, Daniel, Wall, Michael E., Zhang, Yu, Bock, Nicolas, Mniszewski, Susan M.
To address the challenge of performance portability, and facilitate the implementation of electronic structure solvers, we developed the Basic Matrix Library (BML) and Parallel, Rapid O(N) and Graph-based Recursive Electronic Structure Solver (PROGRE
Externí odkaz:
http://arxiv.org/abs/2401.13772
Recognizing and learning from similar crisis situations is crucial for the development of effective response strategies. This study addresses the challenge of identifying similarities within a wide range of crisis-related information. To overcome thi
Externí odkaz:
http://arxiv.org/abs/2401.03770
Autor:
Zhong, Jinfeng, Negre, Elsa
Feature attribution is a fundamental task in both machine learning and data analysis, which involves determining the contribution of individual features or variables to a model's output. This process helps identify the most important features for pre
Externí odkaz:
http://arxiv.org/abs/2310.16157
Autor:
Zhong, Jinfeng, Negre, Elsa
Knowledge graphs contain rich semantic relationships related to items and incorporating such semantic relationships into recommender systems helps to explore the latent connections of items, thus improving the accuracy of prediction and enhancing the
Externí odkaz:
http://arxiv.org/abs/2310.16141
Crisis situations can present complex and multifaceted challenges, often requiring the involvement of multiple organizations and stakeholders with varying areas of expertise, responsibilities, and resources. Acquiring accurate and timely information
Externí odkaz:
http://arxiv.org/abs/2310.02143