Tuomas P. Oikarinen

According to our database, Tuomas P. Oikarinen authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Rethinking Crowd-Sourced Evaluation of Neuron Explanations.

Tuomas P. Oikarinen, Ge Yan, Akshay R. Kulkarni, Tsui-Wei Weng

CoRR, June, 2025

Evaluating Neuron Explanations: A Unified Framework with Sanity Checks.

Tuomas P. Oikarinen, Ge Yan, Tsui-Wei Weng

CoRR, June, 2025

Interpreting Neurons in Deep Vision Networks with Language Models.

Nicholas Bai, Rahul A. Iyer, Tuomas P. Oikarinen, Akshay R. Kulkarni, Tsui-Wei Weng

Trans. Mach. Learn. Res., 2025

SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness.

Anvita A. Srinivas, Tuomas P. Oikarinen, Divyansh Srivastava, Wei-Hung Weng, Tsui-Wei Weng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Concept Bottleneck Large Language Models.

Chung-En Sun, Tuomas P. Oikarinen, Berk Ustun, Tsui-Wei Weng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Concept Bottleneck Language Models For Protein Design.

Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Don Stanton, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Interpretable Generative Models through Post-hoc Concept Bottlenecks.

Akshay R. Kulkarni, Ge Yan, Chung-En Sun, Tuomas P. Oikarinen, Tsui-Wei Weng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Concept-Driven Continual Learning.

Sin-Han Yang, Tuomas P. Oikarinen, Tsui-Wei Weng

Trans. Mach. Learn. Res., 2024

Concept Bottleneck Language Models For protein design.

Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Stanton, Taylor Joren, Joseph Kleinhenz, Allen Goodman, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey

CoRR, 2024

Crafting Large Language Models for Enhanced Interpretability.

Chung-En Sun, Tuomas P. Oikarinen, Tsui-Wei Weng

CoRR, 2024

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

Nicholas Bai, Rahul A. Iyer, Tuomas P. Oikarinen, Tsui-Wei Weng

CoRR, 2024

Linear Explanations for Individual Neurons.

Tuomas P. Oikarinen, Tsui-Wei Weng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The Importance of Prompt Tuning for Automated Neuron Explanations.

Justin Lee, Tuomas P. Oikarinen, Arjun Chatha, Keng-Chi Chang, Yilan Chen, Tsui-Wei Weng

CoRR, 2023

Concept-Monitor: Understanding DNN training through individual neurons.

Mohammad Ali Khan, Tuomas P. Oikarinen, Tsui-Wei Weng

CoRR, 2023

CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks.

Tuomas P. Oikarinen, Tsui-Wei Weng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Label-free Concept Bottleneck Models.

Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Corrupting Neuron Explanations of Deep Visual Features.

Divyansh Srivastava, Tuomas P. Oikarinen, Tsui-Wei Weng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Robust Deep Reinforcement Learning through Adversarial Loss.

Tuomas P. Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng

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.

Tuomas P. Oikarinen, Daniel C. Hannah, Sohrob Kazerounian

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Robust Deep Reinforcement Learning through Adversarial Loss.

Tuomas P. Oikarinen, Tsui-Wei Weng, Luca Daniel

CoRR, 2020

2019

Landslide Geohazard Assessment with Convolutional Neural Networks Using Sentinel-2 Imagery Data.

Silvia Liberata Ullo, Maximillian S. Langenkamp, Tuomas P. Oikarinen, Maria Pia del Rosso, Alessandro Sebastianelli, Federica Piccirillo, Stefania Sica

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019