Learning 3D object-centric representation through prediction.
CoRR, 2024
Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning.
PLoS Comput. Biol., November, 2022
Double-Layer Ku/K Dual-Band Orthogonally Polarized High-Efficiency Transmitarray Antenna.
IEEE Access, 2021
Using Recurrent Neural Networks to Understand Human Reward Learning.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis.
CoRR, 2020
Wideband Low-Profile Luneburg Lens Based on a Glide-Symmetric Metasurface.
IEEE Access, 2020
Learning what is relevant for rewards via value-based serial hypothesis testing.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias.
PLoS Comput. Biol., 2019
Disentangled Deep Autoencoding Regularization for Robust Image Classification.
CoRR, 2019
Transfer Learning via Minimizing the Performance Gap Between Domains.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
A Bayesian method for reducing bias in neural representational similarity analysis.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Reinforcement Learning applied to Single Neuron.
CoRR, 2015