Zobrazeno 1 - 10
of 10 816
pro vyhledávání: '"Sokol, P."'
Autor:
Nasir, Jamal Abdul, Guan, Jingcheng, Jee, Woongkyu, Woodley, Scott M., Sokol, Alexey A., Catlow, C. Richard A., Elena, Alin Marin
Silica polymorphs and zeolites are fundamental to a wide range of industrial applications owing to their diverse structural characteristics, thermodynamic and mechanical stability under varying conditions and due to their geological importance. Compu
Externí odkaz:
http://arxiv.org/abs/2411.00436
Large language models (LLMs) offer powerful capabilities but also introduce significant risks. One way to mitigate these risks is through comprehensive pre-deployment evaluations using benchmarks designed to test for specific vulnerabilities. However
Externí odkaz:
http://arxiv.org/abs/2410.12974
Algorithmic recourse provides actions to individuals who have been adversely affected by automated decision-making and helps them achieve a desired outcome. Knowing the recourse, however, does not guarantee that users would implement it perfectly, ei
Externí odkaz:
http://arxiv.org/abs/2410.02273
Autor:
Boscolo, Daria, Lovatti, Giulio, Sokol, Olga, Vitacchio, Tamara, Evangelista, Francesco, Haettner, Emma, Tinganelli, Walter, Graeff, Christian, Weber, Uli, Schuy, Christoph, Nitta, Munetaka, Moglioni, Martina, Kostyleva, Daria, Purushothaman, Sivaji, Thirolf, Peter G., Bortfeldt, Jonathan, Scheidenberger, Christoph, Parodi, Katia, Durante, Marco
Radioactive ion beams (RIB) are a key focus of current research in nuclear physics. Already long ago it was proposed that they could have applications in cancer therapy. In fact, while charged particle therapy is potentially the most effective radiot
Externí odkaz:
http://arxiv.org/abs/2409.14898
Clustering algorithms rely on complex optimisation processes that may be difficult to comprehend, especially for individuals who lack technical expertise. While many explainable artificial intelligence techniques exist for supervised machine learning
Externí odkaz:
http://arxiv.org/abs/2409.12632
Autor:
Islam, H., Schwadron, N., Moebius, E., Rahmanifard, F., Sokol, J. M., Galli, A., McComas, D. J., Wurz, P., Fuselier, S. A., Fairchild, K., Heirtzler, D.
The IBEX-Lo instrument on the Interstellar Boundary Explorer (IBEX) mission observes primary and secondary interstellar helium in its 4 lowest energy steps. Observations of these helium populations have been systematically analyzed and compared to si
Externí odkaz:
http://arxiv.org/abs/2409.11784
Publikováno v:
In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2024)
Continuous attractors offer a unique class of solutions for storing continuous-valued variables in recurrent system states for indefinitely long time intervals. Unfortunately, continuous attractors suffer from severe structural instability in general
Externí odkaz:
http://arxiv.org/abs/2408.00109
Autor:
Watts, Jake R., Sokol, Joel
This paper proposes a new method for preventing unsafe or otherwise low quality large language model (LLM) outputs, by leveraging the stochasticity of LLMs. We propose a system whereby LLM checkers vote on the acceptability of a generated output, reg
Externí odkaz:
http://arxiv.org/abs/2407.16994
Avoiding systemic discrimination requires investigating AI models' potential to propagate stereotypes resulting from the inherent biases of training datasets. Our study investigated how text-to-image models unintentionally perpetuate non-rational bel
Externí odkaz:
http://arxiv.org/abs/2407.16292
Autor:
Judge, Arnaud, Judge, Thierry, Duchateau, Nicolas, Sandler, Roman A., Sokol, Joseph Z., Bernard, Olivier, Jodoin, Pierre-Marc
Performance of deep learning segmentation models is significantly challenged in its transferability across different medical imaging domains, particularly when aiming to adapt these models to a target domain with insufficient annotated data for effec
Externí odkaz:
http://arxiv.org/abs/2406.17902