Andreas S. Tolias

Orcid: 0000-0002-4305-6376

Affiliations:
  • Baylor College of Medicine, Houston, TX, USA
  • Rice University, Houston, TX, USA


According to our database1, Andreas S. Tolias authored at least 40 papers between 2003 and 2024.

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Bibliography

2024
Continual Learning: Applications and the Road Forward.
Trans. Mach. Learn. Res., 2024

Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks.
PLoS Comput. Biol., 2024

Most discriminative stimuli for functional cell type identification.
CoRR, 2024

Generalization properties of contrastive world models.
CoRR, 2024

Most discriminative stimuli for functional cell type clustering.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Robust deep learning object recognition models rely on low frequency information in natural images.
PLoS Comput. Biol., March, 2023

Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Energy Guided Diffusion for Generating Neurally Exciting Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Three types of incremental learning.
Nat. Mac. Intell., December, 2022

Biological underpinnings for lifelong learning machines.
Nat. Mach. Intell., 2022

Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.
Frontiers Artif. Intell., 2022

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution.
CoRR, 2022

The Sensorium competition on predicting large-scale mouse primary visual cortex activity.
CoRR, 2022

Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks.
CoRR, 2022

2021
Learning divisive normalization in primary visual cortex.
PLoS Comput. Biol., 2021

Avalanche: an End-to-End Library for Continual Learning.
CoRR, 2021


Towards robust vision by multi-task learning on monkey visual cortex.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A flow-based latent state generative model of neural population responses to natural images.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Generalization in data-driven models of primary visual cortex.
Proceedings of the 9th International Conference on Learning Representations, 2021

Class-Incremental Learning With Generative Classifiers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021


2020
Inference of synaptic connectivity and external variability in neural microcircuits.
J. Comput. Neurosci., 2020

Flexible Few-Shot Learning with Contextual Similarity.
CoRR, 2020

Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Rotation-invariant clustering of neuronal responses in primary visual cortex.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Deep convolutional models improve predictions of macaque V1 responses to natural images.
PLoS Comput. Biol., 2019

Three scenarios for continual learning.
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

A rotation-equivariant convolutional neural network model of primary visual cortex.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.
PLoS Comput. Biol., 2018

Generative replay with feedback connections as a general strategy for continual learning.
CoRR, 2018

DataJoint: A Simpler Relational Data Model.
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

2015
Improved Estimation and Interpretation of Correlations in Neural Circuits.
PLoS Comput. Biol., 2015

2009
Generating Spike Trains with Specified Correlation Coefficients.
Neural Comput., 2009

2008
fMRI of the temporal lobe of the awake monkey at 7 T.
NeuroImage, 2008

2004
Modelling Spikes with Mixtures of Factor Analysers.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Prediction on Spike Data Using Kernel Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003


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