Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation.
CoRR, June, 2025
Generalization of graph network inferences in higher-order graphical models.
J. Appl. Comput. Topol., October, 2024
How does the brain compute with probabilities?
CoRR, 2024
Control when confidence is costly.
CoRR, 2024
Generalization properties of contrastive world models.
CoRR, 2024
Robust deep learning object recognition models rely on low frequency information in natural images.
PLoS Comput. Biol., March, 2023
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.
Frontiers Artif. Intell., 2022
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks.
CoRR, 2022
Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons.
IEEE Access, 2022
Interpolating between sampling and variational inference with infinite stochastic mixtures.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Phase transitions in when feedback is useful.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Two-argument activation functions learn soft XOR operations like cortical neurons.
CoRR, 2021
Generalization of graph network inferences in higher-order probabilistic graphical models.
CoRR, 2021
AvaTr: One-Shot Speaker Extraction with Transformers.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Flexible Few-Shot Learning with Contextual Similarity.
CoRR, 2020
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Improved memory in recurrent neural networks with sequential non-normal dynamics.
Proceedings of the 8th International Conference on Learning Representations, 2020
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics.
CoRR, 2019
Learning from brains how to regularize machines.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Belief dynamics extraction.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Inferring decoding strategies for multiple correlated neural populations.
PLoS Comput. Biol., 2018
Inverse POMDP: Inferring What You Think from What You Do.
CoRR, 2018
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Reviving and Improving Recurrent Back-Propagation.
Proceedings of the 35th International Conference on Machine Learning, 2018
Inference in probabilistic graphical models by Graph Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018
Skip Connections Eliminate Singularities.
Proceedings of the 6th International Conference on Learning Representations, 2018
Inference by Reparameterization in Neural Population Codes.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
"Compressive neural representation of sparse, high-dimensional probabilities".
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Learning unbelievable marginal probabilities
CoRR, 2011
Learning unbelievable probabilities.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011