Zobrazeno 1 - 10
of 2 883
pro vyhledávání: '"Steenkiste, P."'
Large language models are increasingly trained on corpora containing both natural language and non-linguistic data like source code. Aside from aiding programming-related tasks, anecdotal evidence suggests that including code in pretraining corpora m
Externí odkaz:
http://arxiv.org/abs/2409.04556
Autor:
Nayak, Shravan, Jain, Kanishk, Awal, Rabiul, Reddy, Siva, van Steenkiste, Sjoerd, Hendricks, Lisa Anne, Stańczak, Karolina, Agrawal, Aishwarya
Foundation models and vision-language pre-training have notably advanced Vision Language Models (VLMs), enabling multimodal processing of visual and linguistic data. However, their performance has been typically assessed on general scene understandin
Externí odkaz:
http://arxiv.org/abs/2407.10920
Autor:
Wu, Ziyi, Rubanova, Yulia, Kabra, Rishabh, Hudson, Drew A., Gilitschenski, Igor, Aytar, Yusuf, van Steenkiste, Sjoerd, Allen, Kelsey R., Kipf, Thomas
We address the problem of multi-object 3D pose control in image diffusion models. Instead of conditioning on a sequence of text tokens, we propose to use a set of per-object representations, Neural Assets, to control the 3D pose of individual objects
Externí odkaz:
http://arxiv.org/abs/2406.09292
Autor:
Eisape, Tiwalayo, Tessler, MH, Dasgupta, Ishita, Sha, Fei, van Steenkiste, Sjoerd, Linzen, Tal
A central component of rational behavior is logical inference: the process of determining which conclusions follow from a set of premises. Psychologists have documented several ways in which humans' inferences deviate from the rules of logic. Do lang
Externí odkaz:
http://arxiv.org/abs/2311.00445
Autor:
Petty, Jackson, van Steenkiste, Sjoerd, Dasgupta, Ishita, Sha, Fei, Garrette, Dan, Linzen, Tal
To process novel sentences, language models (LMs) must generalize compositionally -- combine familiar elements in new ways. What aspects of a model's structure promote compositional generalization? Focusing on transformers, we test the hypothesis, mo
Externí odkaz:
http://arxiv.org/abs/2310.19956
Autor:
Seitzer, Maximilian, van Steenkiste, Sjoerd, Kipf, Thomas, Greff, Klaus, Sajjadi, Mehdi S. M.
Visual understanding of the world goes beyond the semantics and flat structure of individual images. In this work, we aim to capture both the 3D structure and dynamics of real-world scenes from monocular real-world videos. Our Dynamic Scene Transform
Externí odkaz:
http://arxiv.org/abs/2310.06020
Autor:
Eva Buschmann, Glenn Van Steenkiste, Mattias Duytschaever, Patrick Segers, Lara Ibrahim, Gunther van Loon, Annelies Decloedt
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Radiofrequency ablation is a promising technique for arrhythmia treatment in horses. Due to the thicker myocardial wall and higher blood flow in horses, it is unknown if conventional radiofrequency settings used in human medicine can be extr
Externí odkaz:
https://doaj.org/article/89219a4d37fd41f984b3e9657ff3db97
Autor:
Ellen Paulussen, Glenn Van Steenkiste, Ben J. M. Hermans, Annelies Decloedt, Gunther vanLoon, Tammo Delhaas
Publikováno v:
Journal of Veterinary Internal Medicine, Vol 38, Iss 5, Pp 2698-2706 (2024)
Abstract Background Reliable ECGs are crucial for diagnosing arrhythmias, yet a lack of standardization impedes arrhythmia diagnosis and treatment in horses. Objectives To objectively determine an optimal position of Einthoven's triangle for ECG reco
Externí odkaz:
https://doaj.org/article/cd8b38ab5cbf4a0499c627f87cc902a0
Autor:
Ingrid Vernemmen, Eva Buschmann, Glenn Van Steenkiste, Marie Demeyere, Lize‐Maria Verhaeghe, Filip De Somer, Katrien M. J. Devreese, Stijn Schauvliege, Annelies Decloedt, Gunther vanLoon
Publikováno v:
Journal of Veterinary Internal Medicine, Vol 38, Iss 5, Pp 2707-2717 (2024)
Abstract Background Cardiac catheterizations in horses are mainly performed in the right heart, as access to the left heart traditionally requires an arterial approach. Transseptal puncture (TSP) has been adapted for horses but data on follow‐up an
Externí odkaz:
https://doaj.org/article/c23c170563a64b7b92adc18de7001aa3
Recent progress in 3D scene understanding enables scalable learning of representations across large datasets of diverse scenes. As a consequence, generalization to unseen scenes and objects, rendering novel views from just a single or a handful of in
Externí odkaz:
http://arxiv.org/abs/2306.08068