Zobrazeno 1 - 10
of 48 568
pro vyhledávání: '"Schaeffer, A"'
Autor:
Nateghi, Ramin, Zhou, Ruoji, Saft, Madeline, Schnauss, Marina, Neill, Clayton, Alam, Ridwan, Handa, Nicole, Huang, Mitchell, Li, Eric V, Goldstein, Jeffery A, Schaeffer, Edward M, Nadim, Menatalla, Pourakpour, Fattaneh, Isaila, Bogdan, Felicelli, Christopher, Mehta, Vikas, Nezami, Behtash G, Ross, Ashley, Yang, Ximing, Cooper, Lee AD
Artificial intelligence may assist healthcare systems in meeting increasing demand for pathology services while maintaining diagnostic quality and reducing turnaround time and costs. We aimed to investigate the performance of an institutionally devel
Externí odkaz:
http://arxiv.org/abs/2410.23642
Autor:
Malle, Gunter, Fry, A. A. Schaeffer
The Eaton--Moret\'o conjecture extends the recently-proven Brauer height zero conjecture to blocks with non-abelian defect group, positing equality between the minimal positive heights of a block of a finite group and its defect group. Here we provid
Externí odkaz:
http://arxiv.org/abs/2410.22745
We present an innovative optical imaging system for measuring parameters of a small particle such as a macromolecule or nanoparticle at the quantum limit of sensitivity. In comparison to the conventional confocal interferometric scattering (iSCAT) ap
Externí odkaz:
http://arxiv.org/abs/2410.19417
Autor:
Obbad, Elyas, Mlauzi, Iddah, Miranda, Brando, Schaeffer, Rylan, Obbad, Kamal, Bedi, Suhana, Koyejo, Sanmi
Data selection is crucial for optimizing language model (LM) performance on specific tasks, yet most existing methods fail to effectively consider the target task distribution. Current approaches either ignore task-specific requirements entirely or r
Externí odkaz:
http://arxiv.org/abs/2410.18194
Autor:
Kazdan, Joshua, Schaeffer, Rylan, Dey, Apratim, Gerstgrasser, Matthias, Rafailov, Rafael, Donoho, David L., Koyejo, Sanmi
The increasing presence of AI-generated content on the internet raises a critical question: What happens when generative machine learning models are pretrained on web-scale datasets containing data created by earlier models? Some authors prophesy $\t
Externí odkaz:
http://arxiv.org/abs/2410.16713
Autor:
Rhyu, Jinwook, Schaeffer, Joachim, Li, Michael L., Cui, Xiao, Chueh, William C., Bazant, Martin Z., Braatz, Richard D.
Optimization of the formation step in lithium-ion battery manufacturing is challenging due to limited physical understanding of solid electrolyte interphase formation and the long testing time (~100 days) for cells to reach the end of life. We propos
Externí odkaz:
http://arxiv.org/abs/2410.07458
Autor:
Hirt, Sebastian, Höhl, Andreas, Pohlodek, Johannes, Schaeffer, Joachim, Pfefferkorn, Maik, Braatz, Richard D., Findeisen, Rolf
Model predictive control (MPC) is a powerful tool for controlling complex nonlinear systems under constraints, but often struggles with model uncertainties and the design of suitable cost functions. To address these challenges, we discuss an approach
Externí odkaz:
http://arxiv.org/abs/2410.04982
Autor:
Carolan, Joseph, Schaeffer, Luke
Simulating fermionic systems on a quantum computer requires representing fermionic states using qubits. The complexity of many simulation algorithms depends on the complexity of implementing rotations generated by fermionic creation-annihilation oper
Externí odkaz:
http://arxiv.org/abs/2410.04015
Neural scaling laws play a pivotal role in the performance of deep neural networks and have been observed in a wide range of tasks. However, a complete theoretical framework for understanding these scaling laws remains underdeveloped. In this paper,
Externí odkaz:
http://arxiv.org/abs/2410.00357
Impedance-controlled robots are widely used on Earth to perform interaction-rich tasks and will be a key enabler for In-Space Servicing, Assembly and Manufacturing (ISAM) activities. This paper introduces the software architecture used on the On-Boar
Externí odkaz:
http://arxiv.org/abs/2409.17562