Featured publications
Computational neuroscience
Stably flexible learning in the prefrontal cortex. Nature Communications, 2025. (full text)
Few-shot adaptation in the striatum. Nature Communications, 2025. (full text; featured in Nature Communications editors’ highlights)
In-silico task design for controlling human inference. Cell Report, 2024. (fulltext)
Neural computations underlying meta reinforcement learning (version 3). Cell Reports, 2021. (full text)
Neural computations underlying meta reinforcement learning (version 2). Nature Communications, 2019. (full text) (featured in Top 50 Physics articles)
High-performance, memory-efficient, and fast reinforcement learning in the brain. Science Robotics 2019. (fulltext)
Neural computations mediating human one-shot inference. PLOS Biology 2015. (full text; synopsis)
Neural computations underlying meta reinforcement learning (version 1). Neuron 2014. (full text, cover; preview)
Machine learning
Mitigating plasticity loss through architectural design in continual learning. ICML 2026.
Stable and scalable deep predictive coding networks with meta prediction errors. ICLR 2026.
Self-supervised debiasing using low rank regularization. CVPR 2024.
Energy-based cross attention for diffusion models. NeurIPS 2023.
Training debiased subnetworks with contrastive weight pruning. CVPR 2023.
Reliably fast adversarial training via latent adversarial perturbation. ICCV 2021. (Oral presentation)
Human uncertainty inference via deterministic ensemble neural networks. AAAI 2021.
Controlling model-free learning using model-based learning. IEEE Transactions on Knowledge and Data Engineering 2010. (full text)
Fisher criterion function for kernel methods. IEEE Transactions on Neural Networks 2010. (full text)