Zobrazeno 1 - 10
of 1 393
pro vyhledávání: '"Grooten A"'
Autor:
Oerlemans, Camiel, Grooten, Bram, Braat, Michiel, Alassi, Alaa, Silvas, Emilia, Mocanu, Decebal Constantin
Predicting the behavior of road users accurately is crucial to enable the safe operation of autonomous vehicles in urban or densely populated areas. Therefore, there has been a growing interest in time series motion prediction research, leading to si
Externí odkaz:
http://arxiv.org/abs/2410.15819
We introduce Nerva, a fast neural network library under development in C++. It supports sparsity by using the sparse matrix operations of Intel's Math Kernel Library (MKL), which eliminates the need for binary masks. We show that Nerva significantly
Externí odkaz:
http://arxiv.org/abs/2407.17437
Autor:
Muslimani, Calarina, Grooten, Bram, Mamillapalli, Deepak Ranganatha Sastry, Pechenizkiy, Mykola, Mocanu, Decebal Constantin, Taylor, Matthew E.
For autonomous agents to successfully integrate into human-centered environments, agents should be able to learn from and adapt to humans in their native settings. Preference-based reinforcement learning (PbRL) is a promising approach that learns rew
Externí odkaz:
http://arxiv.org/abs/2406.06495
Autor:
Grooten, Bram, Tomilin, Tristan, Vasan, Gautham, Taylor, Matthew E., Mahmood, A. Rupam, Fang, Meng, Pechenizkiy, Mykola, Mocanu, Decebal Constantin
The visual world provides an abundance of information, but many input pixels received by agents often contain distracting stimuli. Autonomous agents need the ability to distinguish useful information from task-irrelevant perceptions, enabling them to
Externí odkaz:
http://arxiv.org/abs/2312.15339
Dynamic Sparse Training (DST) is a rapidly evolving area of research that seeks to optimize the sparse initialization of a neural network by adapting its topology during training. It has been shown that under specific conditions, DST is able to outpe
Externí odkaz:
http://arxiv.org/abs/2306.12230
Autor:
Grooten, Bram, Sokar, Ghada, Dohare, Shibhansh, Mocanu, Elena, Taylor, Matthew E., Pechenizkiy, Mykola, Mocanu, Decebal Constantin
Tomorrow's robots will need to distinguish useful information from noise when performing different tasks. A household robot for instance may continuously receive a plethora of information about the home, but needs to focus on just a small subset to s
Externí odkaz:
http://arxiv.org/abs/2302.06548
Autor:
Magdalena Fresk, Wilhelmus J.A. Grooten, Nina Brodin, Lars G. Backlund, Britt Arrelöv, Ylva Skånér, Anna Kiessling
Publikováno v:
Journal of Rehabilitation Medicine, Vol 56 (2024)
Objective: This study explores the effectiveness of using the International Classification of Functioning, Disability and Health (ICF) as a coding framework to document work-related disability information in sick leave certificates, focusing on depre
Externí odkaz:
https://doaj.org/article/6287791c794e4bcd9795cee1240dc132
Publikováno v:
BMC Sports Science, Medicine and Rehabilitation, Vol 16, Iss 1, Pp 1-14 (2024)
Abstract Background The Single Leg Squat (SLS) test is widely used in the clinical setting to examine and evaluate rehabilitation goals. It is simple to perform and is proposed to have biomechanical and neuromuscular similarities to athletic movement
Externí odkaz:
https://doaj.org/article/1e79fb1ec9ab48f2b17629d22d1350ed
In pursuit of enhanced multi-agent collaboration, we analyze several on-policy deep reinforcement learning algorithms in the recently published Hanabi benchmark. Our research suggests a perhaps counter-intuitive finding, where Proximal Policy Optimiz
Externí odkaz:
http://arxiv.org/abs/2203.11656
Autor:
Eva Rasmussen-Barr, Marie Halvorsen, Tony Bohman, Carina Boström, Åsa Dedering, Roman P. Kuster, Christina B. Olsson, Graciela Rovner, Elena Tseli, Lena Nilsson-Wikmar, Wilhelmus Johannes Andreas Grooten
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-35 (2023)
Abstract Background To date, no consensus exists as to whether one exercise type is more effective than another in chronic neck pain. This systematic review and meta-analysis of systematic reviews aimed to summarize the literature on the effect of va
Externí odkaz:
https://doaj.org/article/0ab2a748273d4884b3a5a27da6719e5c