Zobrazeno 1 - 10
of 10 719
pro vyhledávání: '"Adji A."'
Publikováno v:
East and West, 2021 Jun 01. 2(1), 47-80.
Externí odkaz:
https://www.jstor.org/stable/48729134
Autor:
Spengler, Robert N., III, de Nigris, Ilaria, Cerasetti, Barbara, Carra, Marialetizia, Rouse, Lynne M.
Publikováno v:
In Journal of Archaeological Science: Reports December 2018 22:372-381
Publikováno v:
JIIS: Jurnal Ilmiah Ibnu Sina, Vol 7, Iss 2 (2022)
Hemodialisis (HD) pada pasien penyakit ginjal kronik membutuhkan waktu yang lama dan membutuhkan kepatuhan pasien dalam proses terapi. Hal ini akan memberikan gangguan psikologis pasien yang kemudian akan mempengaruhi kualitas hidup. Selain berpengar
Externí odkaz:
https://doaj.org/article/04c1e599ce344202ad89b4cae1780d99
Large language models (LLMs) are increasingly being used in materials science. However, little attention has been given to benchmarking and standardized evaluation for LLM-based materials property prediction, which hinders progress. We present LLM4Ma
Externí odkaz:
http://arxiv.org/abs/2411.00177
Publikováno v:
Journal of Social Research; Dec2023, Vol. 3 Issue 1, p95-107, 13p
Autor:
Kannen, Nithish, Ahmad, Arif, Andreetto, Marco, Prabhakaran, Vinodkumar, Prabhu, Utsav, Dieng, Adji Bousso, Bhattacharyya, Pushpak, Dave, Shachi
Text-to-Image (T2I) models are being increasingly adopted in diverse global communities where they create visual representations of their unique cultures. Current T2I benchmarks primarily focus on faithfulness, aesthetics, and realism of generated im
Externí odkaz:
http://arxiv.org/abs/2407.06863
Autor:
Yang, Yulong, Feng, Bowen, Wang, Keqin, Leonard, Naomi, Dieng, Adji Bousso, Allen-Blanchette, Christine
From pedestrians to Kuramoto oscillators, interactions between agents govern how a multitude of dynamical systems evolve in space and time. Discovering how these agents relate to each other can improve our understanding of the often complex dynamics
Externí odkaz:
http://arxiv.org/abs/2406.14746
Autor:
Li, Kangming, Rubungo, Andre Niyongabo, Lei, Xiangyun, Persaud, Daniel, Choudhary, Kamal, DeCost, Brian, Dieng, Adji Bousso, Hattrick-Simpers, Jason
Scientific machine learning (ML) endeavors to develop generalizable models with broad applicability. However, the assessment of generalizability is often based on heuristics. Here, we demonstrate in the materials science setting that heuristics based
Externí odkaz:
http://arxiv.org/abs/2406.06489
The diffusion model has shown success in generating high-quality and diverse solutions to trajectory optimization problems. However, diffusion models with neural networks inevitably make prediction errors, which leads to constraint violations such as
Externí odkaz:
http://arxiv.org/abs/2406.00990