Zobrazeno 1 - 10
of 15 036
pro vyhledávání: '"A, Riemer"'
Realtime environments change even as agents perform action inference and learning, thus requiring high interaction frequencies to effectively minimize regret. However, recent advances in machine learning involve larger neural networks with longer inf
Externí odkaz:
http://arxiv.org/abs/2412.14355
Autor:
Thakkar, Megh, More, Yash, Fournier, Quentin, Riemer, Matthew, Chen, Pin-Yu, Zouaq, Amal, Das, Payel, Chandar, Sarath
There is a growing interest in training domain-expert LLMs that excel in specific technical fields compared to their general-purpose instruction-tuned counterparts. However, these expert models often experience a loss in their safety abilities in the
Externí odkaz:
http://arxiv.org/abs/2411.06824
Autor:
Yuan, Shuaiyu, Whitmarsh, Tristan, Kessler, Dimitri A, Arponen, Otso, McLean, Mary A, Baxter, Gabrielle, Riemer, Frank, Kennerley, Aneurin J, Brackenbury, William J, Gilbert, Fiona J, Kaggie, Joshua D
Sodium MRI is an imaging technique used to visualize and quantify sodium concentrations in vivo, playing a role in many biological processes and potentially aiding in breast cancer characterization. Sodium MRI, however, suffers from inherently low si
Externí odkaz:
http://arxiv.org/abs/2410.11511
Autor:
Yuan, Shuaiyu, Whitmarsh, Tristan, Kessler, Dimitri A, Arponen, Otso, McLean, Mary A, Baxter, Gabrielle, Riemer, Frank, Kennerley, Aneurin J, Brackenbury, William J, Gilbert, Fiona J, Kaggie, Joshua D
New multinuclear MRI techniques, such as sodium MRI, generally suffer from low image quality due to an inherently low signal. Postprocessing methods, such as image denoising, have been developed for image enhancement. However, the assessment of these
Externí odkaz:
http://arxiv.org/abs/2408.16481
Autor:
Assion, Felix, Gressner, Florens, Augustine, Nitin, Klemenc, Jona, Hammam, Ahmed, Krattinger, Alexandre, Trittenbach, Holger, Philippsen, Anja, Riemer, Sascha
High-autonomy vehicle functions rely on machine learning (ML) algorithms to understand the environment. Despite displaying remarkable performance in fair weather scenarios, perception algorithms are heavily affected by adverse weather and lighting co
Externí odkaz:
http://arxiv.org/abs/2408.06071
Uncertainty quantification during atmospheric chemistry modeling is computationally expensive as it typically requires a large number of simulations using complex models. As large-scale modeling is typically performed with simplified chemical mechani
Externí odkaz:
http://arxiv.org/abs/2407.09757
Autor:
Wu, Jie, Eidnes, Sølve, Jin, Jingzhe, Lie, Halvor, Yin, Decao, Passano, Elizabeth, Sævik, Svein, Riemer-Sorensen, Signe
Publikováno v:
Journal of Fluids and Structures, Volume 116, 2023, 103793
Offshore slender marine structures experience complex and combined load conditions from waves, current and vessel motions that may result in both wave frequency and vortex shedding response patterns. Field measurements often consist of records of env
Externí odkaz:
http://arxiv.org/abs/2406.18611
We present an investigation of how topological data analysis (TDA) can be applied to condition-based monitoring (CBM) of wind turbines for energy generation. TDA is a branch of data analysis focusing on extracting meaningful information from complex
Externí odkaz:
http://arxiv.org/abs/2406.16380
Autor:
Cohen, Yarden, Navarro, Alexandre Khae Wu, Frellsen, Jes, Turner, Richard E., Riemer, Raziel, Pakman, Ari
The need for regression models to predict circular values arises in many scientific fields. In this work we explore a family of expressive and interpretable distributions over circle-valued random functions related to Gaussian processes targeting two
Externí odkaz:
http://arxiv.org/abs/2406.13151
Autor:
Thakkar, Megh, Fournier, Quentin, Riemer, Matthew D, Chen, Pin-Yu, Zouaq, Amal, Das, Payel, Chandar, Sarath
Large language models are first pre-trained on trillions of tokens and then instruction-tuned or aligned to specific preferences. While pre-training remains out of reach for most researchers due to the compute required, fine-tuning has become afforda
Externí odkaz:
http://arxiv.org/abs/2406.04879