Zobrazeno 1 - 10
of 57 226
pro vyhledávání: '"A. Oswald"'
This paper presents the first Open-Vocabulary Online 3D semantic SLAM pipeline, that we denote as OVO-SLAM. Our primary contribution is in the pipeline itself, particularly in the mapping thread. Given a set of posed RGB-D frames, we detect and track
Externí odkaz:
http://arxiv.org/abs/2411.15043
Autor:
Milanovic, Luka, Ferrero, Greg, Oswald, Robin, Kinder, Thomas, Schmidt, Julian, Hempel, Cornelius
Laser diode injection-locking is a commonly used method to amplify laser light, while preserving its spectral properties. Fluctuations in the environmental conditions can cause injection-locking to fail, especially when operating with low seed powers
Externí odkaz:
http://arxiv.org/abs/2411.13046
Transformers have demonstrated remarkable in-context learning capabilities across various domains, including statistical learning tasks. While previous work has shown that transformers can implement common learning algorithms, the adversarial robustn
Externí odkaz:
http://arxiv.org/abs/2411.05189
Autor:
Gaddis, Jason, Oswald, Amrei
We classify actions of generalized Taft algebras on preprojective algebras of extended Dynkin quivers of type $A$. This may be viewed as an extension of the problem of classifying actions on the polynomial ring in two variables. In cases where the gr
Externí odkaz:
http://arxiv.org/abs/2410.24179
The effect of regularizers such as weight decay when training deep neural networks is not well understood. We study the influence of weight decay as well as $L2$-regularization when training neural network models in which parameter matrices interact
Externí odkaz:
http://arxiv.org/abs/2410.23819
Autor:
Meulemans, Alexander, Kobayashi, Seijin, von Oswald, Johannes, Scherrer, Nino, Elmoznino, Eric, Richards, Blake, Lajoie, Guillaume, Arcas, Blaise Agüera y, Sacramento, João
Self-interested individuals often fail to cooperate, posing a fundamental challenge for multi-agent learning. How can we achieve cooperation among self-interested, independent learning agents? Promising recent work has shown that in certain tasks coo
Externí odkaz:
http://arxiv.org/abs/2410.18636
We examine the language capabilities of language models (LMs) from the critical perspective of human language acquisition. Building on classical language development theories, we propose a three-stage framework to assess the abilities of LMs, ranging
Externí odkaz:
http://arxiv.org/abs/2410.13259
Autor:
Lower, M. E., Kramer, M., Johnston, S., Breton, R. P., Wex, N., Bailes, M., Buchner, S., Camilo, F., Oswald, L. S., Reardon, D. J., Shannon, R. M., Serylak, M., Krishnan, V. Venkatraman
PSR J0737$-$3039A/B is unique among double neutron star systems. Its near-perfect edge-on orbit causes the fast spinning pulsar A to be eclipsed by the magnetic field of the slow spinning pulsar B. Using high-sensitivity MeerKAT radio observations co
Externí odkaz:
http://arxiv.org/abs/2410.12510
Autor:
Bhowmik, Aritra, Derakhshani, Mohammad Mahdi, Koelma, Dennis, Oswald, Martin R., Asano, Yuki M., Snoek, Cees G. M.
Spatial awareness is key to enable embodied multimodal AI systems. Yet, without vast amounts of spatial supervision, current Visual Language Models (VLMs) struggle at this task. In this paper, we introduce LynX, a framework that equips pretrained VLM
Externí odkaz:
http://arxiv.org/abs/2410.10491
Effective spoken dialog systems should facilitate natural interactions with quick and rhythmic timing, mirroring human communication patterns. To reduce response times, previous efforts have focused on minimizing the latency in automatic speech recog
Externí odkaz:
http://arxiv.org/abs/2409.19990