Zobrazeno 1 - 10
of 5 029
pro vyhledávání: '"Vertes"'
Autor:
Zhang, Jingwei, Swinnen, Lauren, Chatzichristos, Christos, Broux, Victoria, Proost, Renee, Jansen, Katrien, Mahler, Benno, Zabler, Nicolas, Epitashvilli, Nino, Dümpelmann, Matthias, Schulze-Bonhage, Andreas, Schriewer, Elisabeth, Ermis, Ummahan, Wolking, Stefan, Linke, Florian, Weber, Yvonne, Symmonds, Mkael, Sen, Arjune, Biondi, Andrea, Richardson, Mark P., Sulaiman I, Abuhaiba, Silva, Ana Isabel, Sales, Francisco, Vértes, Gergely, Van Paesschen, Wim, De Vos, Maarten
Objective: Most current wearable tonic-clonic seizure (TCS) detection systems are based on extra-cerebral signals, such as electromyography (EMG) or accelerometry (ACC). Although many of these devices show good sensitivity in seizure detection, their
Externí odkaz:
http://arxiv.org/abs/2403.13066
Autor:
Metz, Thomas O., Adkins, Joshua N., Armentrout, Peter B., Chain, Patrick, Chu, Fanny, Corley, Courtney D, Cort, John R., Denis, Elizabeth, Drell, Daniel, Duncan, Katherine R., Ewing, Robert G., Fernandez, Facundo M., Fiehn, Oliver, Garg, Neha, Grimme, Stefan, Henry, Christopher, Hettich, Robert L., Kind, Tobias, Linington, Roger G., Miller, Gary W., Northen, Trent, Overdahl, Kirsten, Patrinos, Ari, Raftery, Daniel, Rigor, Paul, Smith, Richard D., Sobus, Jon, Teeguarden, Justin, Vertes, Akos, Waters, Katrina, Webb-Robertson, Bobbie-Jo, Williams, Antony, Wishart, David
On August 9-10, 2023, a workshop was convened at the Pacific Northwest National Laboratory (PNNL) in Richland, WA that brought together a group of internationally recognized experts in metabolomics, natural products discovery, chemical ecology, chemi
Externí odkaz:
http://arxiv.org/abs/2311.11437
Autor:
Walker, Jacob, Vértes, Eszter, Li, Yazhe, Dulac-Arnold, Gabriel, Anand, Ankesh, Weber, Théophane, Hamrick, Jessica B.
State of the art reinforcement learning has enabled training agents on tasks of ever increasing complexity. However, the current paradigm tends to favor training agents from scratch on every new task or on collections of tasks with a view towards gen
Externí odkaz:
http://arxiv.org/abs/2302.04009
Autor:
Kossen, Jannik, Cangea, Cătălina, Vértes, Eszter, Jaegle, Andrew, Patraucean, Viorica, Ktena, Ira, Tomasev, Nenad, Belgrave, Danielle
We introduce a challenging decision-making task that we call active acquisition for multimodal temporal data (A2MT). In many real-world scenarios, input features are not readily available at test time and must instead be acquired at significant cost.
Externí odkaz:
http://arxiv.org/abs/2211.05039
Publikováno v:
Main Group Metal Chemistry, Vol 18, Iss 11, Pp 641-649 (1995)
Externí odkaz:
https://doaj.org/article/a0391b43f0ff4945932effbc2062fa9e
Autor:
Filos, Angelos, Vértes, Eszter, Marinho, Zita, Farquhar, Gregory, Borsa, Diana, Friesen, Abram, Behbahani, Feryal, Schaul, Tom, Barreto, André, Osindero, Simon
Using a model of the environment and a value function, an agent can construct many estimates of a state's value, by unrolling the model for different lengths and bootstrapping with its value function. Our key insight is that one can treat this set of
Externí odkaz:
http://arxiv.org/abs/2112.04153
Autor:
Anand, Ankesh, Walker, Jacob, Li, Yazhe, Vértes, Eszter, Schrittwieser, Julian, Ozair, Sherjil, Weber, Théophane, Hamrick, Jessica B.
One of the key promises of model-based reinforcement learning is the ability to generalize using an internal model of the world to make predictions in novel environments and tasks. However, the generalization ability of model-based agents is not well
Externí odkaz:
http://arxiv.org/abs/2111.01587