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2020 – today
- 2024
[j3]Dmytro Perepolkin
, Benjamin Goodrich, Ullrika Sahlin:
Hybrid elicitation and quantile-parametrized likelihood. Stat. Comput. 34(1): 11 (2024)- 2023
- [j2]Dmytro Perepolkin, Benjamin Goodrich, Ullrika Sahlin:
The tenets of quantile-based inference in Bayesian models. Comput. Stat. Data Anal. 187: 107795 (2023) - 2022
- [j1]Vincent Dorie, George Perrett, Jennifer L. Hill, Benjamin Goodrich:
Stan and BART for Causal Inference: Estimating Heterogeneous Treatment Effects Using the Power of Stan and the Flexibility of Machine Learning. Entropy 24(12): 1782 (2022)
2010 – 2019
- 2015
- [c6]Tomer Lancewicki, Benjamin Goodrich, Itamar Arel:
Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting. ICMLA 2015: 628-633 - 2014
- [c5]Benjamin Goodrich, Itamar Arel:
Neuron clustering for mitigating catastrophic forgetting in feedforward neural networks. CIDUE 2014: 62-68 - [c4]Benjamin Goodrich, Itamar Arel:
Unsupervised neuron selection for mitigating catastrophic forgetting in neural networks. MWSCAS 2014: 997-1000 - 2012
- [c3]Benjamin Goodrich, Itamar Arel:
Consolidated actor critic reinforcement learning model applied to face detection. ACM Southeast Regional Conference 2012: 379-380 - [c2]Benjamin Goodrich, Itamar Arel:
Reinforcement learning based visual attention with application to face detection. CVPR Workshops 2012: 19-24 - 2011
- [c1]Nicole Pennington, Benjamin Goodrich, Itamar Arel:
Contrasting Infant Perception Data with a Reinforcement Learning Visual Search Model. BICA 2011: 282-287
Coauthor Index
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