Zobrazeno 1 - 10
of 337
pro vyhledávání: '"Morawiecki, A"'
We present a benchmark for large language models designed to tackle one of the most knowledge-intensive tasks in data science: writing feature engineering code, which requires domain knowledge in addition to a deep understanding of the underlying pro
Externí odkaz:
http://arxiv.org/abs/2410.23331
Autor:
Morawiecki, Piotr, Trinh, Philippe H.
Many simple hydrologic models are based on parametric statistical relations between the river flow and catchment properties such as its area, precipitation rates, soil properties, etc., fitted to the available data. The main objective of this work is
Externí odkaz:
http://arxiv.org/abs/2401.05349
Autor:
Morawiecki, Piotr, Trinh, Philippe H.
In the first part of our study, we demonstrated how a simple physical benchmark model can be used to assess assumptions of the conceptual models, based on a lumped Probability Distributed Model (PDM) formulated by Lamb (1999). In this second part, we
Externí odkaz:
http://arxiv.org/abs/2312.01372
Autor:
Morawiecki, Piotr, Trinh, Philippe H.
Typically, physical and conceptual rainfall-runoff models are developed independently and are based on different, though not entirely incompatible, governing principles. In this work, we perform a systematic asymptotic analysis of a typical conceptua
Externí odkaz:
http://arxiv.org/abs/2312.01371
Autor:
Dubiński, Jan, Kowalczuk, Antoni, Pawlak, Stanisław, Rokita, Przemysław, Trzciński, Tomasz, Morawiecki, Paweł
Generative diffusion models, including Stable Diffusion and Midjourney, can generate visually appealing, diverse, and high-resolution images for various applications. These models are trained on billions of internet-sourced images, raising significan
Externí odkaz:
http://arxiv.org/abs/2306.12983
Autor:
Morawiecki, Piotr, Trinh, Philippe H.
The objective of this three-part work is to formulate and rigorously analyse a number of reduced mathematical models that are nevertheless capable of describing the hydrology at the scale of a river basin (i.e. catchment). Coupled surface and subsurf
Externí odkaz:
http://arxiv.org/abs/2211.01440
Autor:
Morawiecki, Piotr, Trinh, Philippe H.
The objective of this three-part work is to formulate and rigorously analyse a number of reduced mathematical models that are nevertheless capable of describing the hydrology at the scale of a river basin (i.e. catchment). Coupled surface and subsurf
Externí odkaz:
http://arxiv.org/abs/2211.00972
Autor:
Morawiecki, Piotr, Trinh, Philippe H.
The objective of this three-part work is to formulate and rigorously analyse a number of reduced mathematical models that are nevertheless capable of describing the hydrology at the scale of a river basin (i.e. catchment). Coupled surface and subsurf
Externí odkaz:
http://arxiv.org/abs/2211.00964
Autor:
Pieprzyk, Josef, Duda, Jarek, Pawlowski, Marcin, Camtepe, Seyit, Mahboubi, Arash, Morawiecki, Pawel
Compression also known as entropy coding has a rich and long history. However, a recent explosion of multimedia Internet applications (such as teleconferencing and video streaming for instance) renews an interest in fast compression that also squeeze
Externí odkaz:
http://arxiv.org/abs/2209.02228
Continual Learning aims to bring machine learning into a more realistic scenario, where tasks are learned sequentially and the i.i.d. assumption is not preserved. Although this setting is natural for biological systems, it proves very difficult for m
Externí odkaz:
http://arxiv.org/abs/2207.04874