Zobrazeno 1 - 10
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pro vyhledávání: '"Dubé, P"'
When a chemical bond is broken, the molecular structure undergoes a transformation. An ideal experiment should probe the change in the electronic and nuclear structure simultaneously. Here, we present a method for the simultaneous time-resolved imagi
Externí odkaz:
http://arxiv.org/abs/2410.07088
Autor:
Punyamoorty, Vineet, Jutras-Dubé, Pascal, Zhang, Ruqi, Aggarwal, Vaneet, Conover, Damon, Bera, Aniket
By framing reinforcement learning as a sequence modeling problem, recent work has enabled the use of generative models, such as diffusion models, for planning. While these models are effective in predicting long-horizon state trajectories in determin
Externí odkaz:
http://arxiv.org/abs/2409.16950
Time-series forecasting has seen significant advancements with the introduction of token prediction mechanisms such as multi-head attention. However, these methods often struggle to achieve the same performance as in language modeling, primarily due
Externí odkaz:
http://arxiv.org/abs/2409.14012
This paper explores the potential of a small, domain-specific language model trained exclusively on sports-related data. We investigate whether extensive training data with specially designed small model structures can overcome model size constraints
Externí odkaz:
http://arxiv.org/abs/2409.00286
Autor:
Azami, Mohammad, Kazemi, Zahra, Moazen, Sare, Dubé, Martine, Potvin, Marie-Josée, Skonieczny, Krzysztof
As humankind prepares to establish outposts and infrastructure on the Moon, the ability to manufacture parts and buildings on-site is crucial. While transporting raw materials from Earth can be costly and time-consuming, in-situ resource utilization
Externí odkaz:
http://arxiv.org/abs/2408.05823
Planning with generative models has emerged as an effective decision-making paradigm across a wide range of domains, including reinforcement learning and autonomous navigation. While continuous replanning at each timestep might seem intuitive because
Externí odkaz:
http://arxiv.org/abs/2408.01510
The potentials of Generative-AI technologies like Large Language models (LLMs) to revolutionize education are undermined by ethical considerations around their misuse which worsens the problem of academic dishonesty. LLMs like GPT-4 and Llama 2 are b
Externí odkaz:
http://arxiv.org/abs/2407.07225
This article seeks to contribute to a nuanced understanding of the integration of Design Structure Matrix (DSM) and genetic algorithms in the context of Complex Systems modelling described within Model-Based System Engineering approach. By examining
Externí odkaz:
http://arxiv.org/abs/2407.03739
Autor:
Dube, Themba, Goswami, Amartya
The aim of this paper is to investigate further properties of $z$-elements in multiplicative lattices. We utilize $z$-closure operators to extend several properties of $z$-ideals to $z$-elements and introduce various distinguished subclasses of $z$-e
Externí odkaz:
http://arxiv.org/abs/2405.11670
Autor:
Goswami, Amartya, Dube, Themba
The objective of this paper is to extend certain properties observed in $d$-ideals of rings and $d$-elements of frames to Baer elements in multiplicative lattices introduced in D. D. Anderson, C. Jayaram, and P. A. Phiri, Baer lattices, \textit{Acta
Externí odkaz:
http://arxiv.org/abs/2405.11665