Joel Dapello

According to our database1, Joel Dapello authored at least 9 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds.
CoRR, 2023

ProtoGraph: A Non-Expert Toolkit for Creating Animated Graphs.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations.
CoRR, 2022

Adversarially trained neural representations are already as robust as biological neural representations.
Proceedings of the International Conference on Machine Learning, 2022

2021
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs.
CoRR, 2021

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018
On the Information Bottleneck Theory of Deep Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018


  Loading...