Tuomas P. Oikarinen

According to our database1, Tuomas P. Oikarinen authored at least 12 papers between 2019 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Crafting Large Language Models for Enhanced Interpretability.
CoRR, 2024

Describe-and-Dissect: Interpreting Neurons in Vision Networks with Language Models.
CoRR, 2024

Linear Explanations for Individual Neurons.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
The Importance of Prompt Tuning for Automated Neuron Explanations.
CoRR, 2023

Concept-Monitor: Understanding DNN training through individual neurons.
CoRR, 2023

CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Label-free Concept Bottleneck Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Corrupting Neuron Explanations of Deep Visual Features.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
Robust Deep Reinforcement Learning through Adversarial Loss.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GraphMDN: Leveraging graph structure and deep learning to solve inverse problems.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Robust Deep Reinforcement Learning through Adversarial Loss.
CoRR, 2020

2019
Landslide Geohazard Assessment with Convolutional Neural Networks Using Sentinel-2 Imagery Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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