Zobrazeno 1 - 10
of 90 330
pro vyhledávání: '"Román, P."'
Ising machines (IM) have recently been proposed as unconventional hardware-based computation accelerators for solving NP-hard problems. In this work, we present a model for a time-multiplexed IM based on the nonlinear oscillations in a delay line-bas
Externí odkaz:
http://arxiv.org/abs/2406.07197
Autor:
Ahammed, Abu Shad, Obermaisser, Roman
Rescue stations around the world receive millions of emergency rescue calls each year, most of which are due to health complications. Due to the high frequency and necessity of rescue services, there is always an increasing demand for quick, accurate
Externí odkaz:
http://arxiv.org/abs/2408.03739
A significant part of contemporary research in autonomous vehicles is dedicated to the development of safety critical systems where state-of-the-art artificial intelligence (AI) algorithms, like computer vision (CV), can play a major role. Vision mod
Externí odkaz:
http://arxiv.org/abs/2408.04476
Autor:
Vargas, Daniel, Haque, Ethan, Carroll, Matthew, Perez, Daniel, Roman, Tyler, Nguyen, Phong, Habibi, Golnaz
This paper presents a 1/10th scale mini-city platform used as a testing bed for evaluating autonomous and connected vehicles. Using the mini-city platform, we can evaluate different driving scenarios including human-driven and autonomous driving. We
Externí odkaz:
http://arxiv.org/abs/2408.04195
Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
Autor:
Steinigen, Daniel, Teucher, Roman, Ruland, Timm Heine, Rudat, Max, Flores-Herr, Nicolas, Fischer, Peter, Milosevic, Nikola, Schymura, Christopher, Ziletti, Angelo
Recent advancements in Large Language Models (LLMs) have showcased their proficiency in answering natural language queries. However, their effectiveness is hindered by limited domain-specific knowledge, raising concerns about the reliability of their
Externí odkaz:
http://arxiv.org/abs/2408.03010
Autor:
Bezrukavnikov, Roman, Losev, Ivan
In this paper we introduce and study a categorical action of the positive part of the Heisenberg Lie algebra on categories of modules over rational Cherednik algebras associated to symmetric groups. We show that the generating functor for this action
Externí odkaz:
http://arxiv.org/abs/2408.02485
Speaker diarization answers the question "who spoke when" for an audio file. In some diarization scenarios, low latency is required for transcription. Speaker diarization with low latency is referred to as online speaker diarization. The DIART pipeli
Externí odkaz:
http://arxiv.org/abs/2408.02341
Our study demonstrates that strong cationic segregation can occur in amorphous complex oxide memristors during electrical operation. With the help of analytic techniques, we observed that switching the electrical stimulation from voltage to current s
Externí odkaz:
http://arxiv.org/abs/2408.01619
Autor:
Ravi, Nikhila, Gabeur, Valentin, Hu, Yuan-Ting, Hu, Ronghang, Ryali, Chaitanya, Ma, Tengyu, Khedr, Haitham, Rädle, Roman, Rolland, Chloe, Gustafson, Laura, Mintun, Eric, Pan, Junting, Alwala, Kalyan Vasudev, Carion, Nicolas, Wu, Chao-Yuan, Girshick, Ross, Dollár, Piotr, Feichtenhofer, Christoph
We present Segment Anything Model 2 (SAM 2), a foundation model towards solving promptable visual segmentation in images and videos. We build a data engine, which improves model and data via user interaction, to collect the largest video segmentation
Externí odkaz:
http://arxiv.org/abs/2408.00714
Autor:
Huang, Zhaolan, Tousnakhoff, Adrien, Kozyr, Polina, Rehausen, Roman, Bießmann, Felix, Lachlan, Robert, Adjih, Cedric, Baccelli, Emmanuel
Monitoring biodiversity at scale is challenging. Detecting and identifying species in fine grained taxonomies requires highly accurate machine learning (ML) methods. Training such models requires large high quality data sets. And deploying these mode
Externí odkaz:
http://arxiv.org/abs/2407.21453