Zobrazeno 1 - 10
of 2 669
pro vyhledávání: '"Tomlin P"'
Autor:
Cella Matteo, Tomlin Paul, Robotham Daniel, Green Patrick, Griffiths Helena, Stahl Daniel, Valmaggia Lucia
Publikováno v:
Efficacy and Mechanism Evaluation, Vol 10, Iss 06 (2023)
Background Negative symptoms are typically observed in people with schizophrenia and indicate a loss or reduction of a normal function (e.g. reduced motivation and affect display). Despite obstructing people’s recovery, intervention development rec
Externí odkaz:
https://doaj.org/article/747b0e7ca4eb466d8ee3534a7b40c951
Autor:
Kang, Katie, Setlur, Amrith, Ghosh, Dibya, Steinhardt, Jacob, Tomlin, Claire, Levine, Sergey, Kumar, Aviral
Despite the remarkable capabilities of modern large language models (LLMs), the mechanisms behind their problem-solving abilities remain elusive. In this work, we aim to better understand how the learning dynamics of LLM finetuning shapes downstream
Externí odkaz:
http://arxiv.org/abs/2411.07681
Autor:
Deglurkar, Sampada, Shen, Haotian, Muthali, Anish, Pavone, Marco, Margineantu, Dragos, Karkus, Peter, Ivanovic, Boris, Tomlin, Claire J.
We present a novel perspective on the design, use, and role of uncertainty measures for learned modules in an autonomous system. While in the current literature uncertainty measures are produced for standalone modules without considering the broader
Externí odkaz:
http://arxiv.org/abs/2410.12019
Autor:
Georgia A Williamson, Shelly Rodrigo, Natalie Guthrie-Dixon, Elizabeth Blackman, J Robert Beck, Ian Hambleton, Althea Bailey, Tomlin Paul, Camille C Ragin, Marshall K Tulloch-Reid
Publikováno v:
Revista Panamericana de Salud Pública, Vol 45, Iss 35, Pp 1-9 (2021)
Objective. To describe the needs of academic staff conducting non-communicable disease (NCD) research at the University of the West Indies, Mona Campus in Jamaica. Methods. Utilizing a cross-sectional design an online survey was created using the res
Externí odkaz:
https://doaj.org/article/8cb3137e9cba47fa8f3afed12947c40d
Autor:
Xia, Xingpeng, Choi, Jason J., Agrawal, Ayush, Sreenath, Koushil, Tomlin, Claire J., Bansal, Somil
Learning-based approaches have recently shown notable success in legged locomotion. However, these approaches often lack accountability, necessitating empirical tests to determine their effectiveness. In this work, we are interested in designing a le
Externí odkaz:
http://arxiv.org/abs/2409.16301
Autor:
Pohland, Sara, Tomlin, Claire
Perception-based navigation systems are useful for unmanned ground vehicle (UGV) navigation in complex terrains, where traditional depth-based navigation schemes are insufficient. However, these data-driven methods are highly dependent on their train
Externí odkaz:
http://arxiv.org/abs/2409.06111
We propose a new reachability learning framework for high-dimensional nonlinear systems, focusing on reach-avoid problems. These problems require computing the reach-avoid set, which ensures that all its elements can safely reach a target set despite
Externí odkaz:
http://arxiv.org/abs/2408.07866
Power grids are seeing more devices connected at the load level in the form of power electronics: e.g., data centers, electric vehicle chargers, and battery storage facilities. Therefore it is necessary to perform power system analyses with load mode
Externí odkaz:
http://arxiv.org/abs/2407.12715
Autor:
Pohland, Sara, Tomlin, Claire
Publikováno v:
In: Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2154
While deep neural network (DNN)-based perception models are useful for many applications, these models are black boxes and their outputs are not yet well understood. To confidently enable a real-world, decision-making system to utilize such a percept
Externí odkaz:
http://arxiv.org/abs/2407.10543
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA)
Reinforcement learning (RL) methods for social robot navigation show great success navigating robots through large crowds of people, but the performance of these learning-based methods tends to degrade in particularly challenging or unfamiliar situat
Externí odkaz:
http://arxiv.org/abs/2407.06056