دنبال کردن
Angela Bitto-Nemling
Angela Bitto-Nemling
Institute for Applied Statistics, Johannes Kepler University Linz, Austria
ایمیل تأیید شده در jku.at
عنوان
نقل شده توسط
نقل شده توسط
سال
Achieving shrinkage in a time-varying parameter model framework‏
A Bitto, S Frühwirth-Schnatter‏
Journal of Econometrics 210 (1), 75-97, 2019‏
2132019
Cloob: Modern hopfield networks with infoloob outperform clip‏
A Fürst, E Rumetshofer, J Lehner, VT Tran, F Tang, H Ramsauer, D Kreil, ...‏
Advances in neural information processing systems 35, 20450-20468, 2022‏
1222022
A dataset perspective on offline reinforcement learning‏
K Schweighofer, M Dinu, A Radler, M Hofmarcher, VP Patil, ...‏
Conference on Lifelong Learning Agents, 470-517, 2022‏
552022
History compression via language models in reinforcement learning‏
F Paischer, T Adler, V Patil, A Bitto-Nemling, M Holzleitner, S Lehner, ...‏
International Conference on Machine Learning, 17156-17185, 2022‏
472022
Boundary graph neural networks for 3d simulations‏
A Mayr, S Lehner, A Mayrhofer, C Kloss, S Hochreiter, J Brandstetter‏
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9099-9107, 2023‏
372023
Shrinkage in the time-varying parameter model framework using the R package shrinkTVP‏
P Knaus, A Bitto-Nemling, A Cadonna, S Frühwirth-Schnatter‏
Journal of Statistical Software 100, 1-32, 2021‏
372021
Hopular: Modern hopfield networks for tabular data‏
B Schäfl, L Gruber, A Bitto-Nemling, S Hochreiter‏
arXiv preprint arXiv:2206.00664, 2022‏
312022
Modern hopfield networks for return decomposition for delayed rewards‏
M Widrich, M Hofmarcher, VP Patil, A Bitto-Nemling, S Hochreiter‏
Deep RL Workshop NeurIPS 2021, 2021‏
292021
Reactive exploration to cope with non-stationarity in lifelong reinforcement learning‏
CA Steinparz, T Schmied, F Paischer, MC Dinu, VP Patil, A Bitto-Nemling, ...‏
Conference on Lifelong Learning Agents, 441-469, 2022‏
172022
shrinkTVP: Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage‏
P Knaus, A Bitto-Nemling, A Cadonna, S Frühwirth-Schnatter‏
R package version 2 (1), 2020‏
82020
Modern Hopfield networks as memory for iterative learning on tabular data‏
B Schäfl, L Gruber, A Bitto-Nemling, S Hochreiter‏
Associative Memory {\&} Hopfield Networks in 2023, 2023‏
12023
Modern Hopfield networks for sample-efficient return decomposition from demonstrations‏
M Widrich, M Hofmarcher, VP Patil, A Bitto-Nemling, S Hochreiter‏
Offline Reinforcement Learning Workshop NeurIPS, 2021‏
12021
Bayesian Statistics from Methods to Models and Applications: Research from BAYSM 2014‏
S Frühwirth-Schnatter, A Bitto, G Kastner, A Posekany‏
Springer, 2015‏
12015
Package ‘shrinkTVP’‏
P Knaus, A Bitto-Nemling, A Cadonna, S Frühwirth-Schnatter, D Winkler, ...‏
2024
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–14