Tuomas P. Oikarinen

32 papers A* 9A 1B 1C 1Journal 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
CI-CBM: Class-Incremental Concept Bottleneck Model for Interpretable Continual Learning.
Trans. Mach. Learn. Res.
Amirhosein Javadi, Tuomas P. Oikarinen, Tara Javidi, Tsui-Wei Weng
2025 A* conf
Concept Bottleneck Language Models For Protein Design.
ICLR
Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Don Stanton, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey
2025 A* conf
Concept Bottleneck Large Language Models.
ICLR
Chung-En Sun, Tuomas P. Oikarinen, Berk Ustun, Tsui-Wei Weng
2025 A* conf
Evaluating Neuron Explanations: A Unified Framework with Sanity Checks.
ICML
Tuomas P. Oikarinen, Ge Yan, Tsui-Wei Weng
2025 J jnl
Evaluating Neuron Explanations: A Unified Framework with Sanity Checks.
CoRR
Tuomas P. Oikarinen, Ge Yan, Tsui-Wei Weng
2025 J jnl
Faithful and Stable Neuron Explanations for Trustworthy Mechanistic Interpretability.
CoRR
Ge Yan, Tuomas P. Oikarinen, Tsui-Wei Weng
2025 A* conf
Interpretable Generative Models through Post-hoc Concept Bottlenecks.
CVPR
Akshay R. Kulkarni, Ge Yan, Chung-En Sun, Tuomas P. Oikarinen, Tsui-Wei Weng
2025 J jnl
Interpretable Generative Models through Post-hoc Concept Bottlenecks.
CoRR
Akshay R. Kulkarni, Ge Yan, Chung-En Sun, Tuomas P. Oikarinen, Tsui-Wei Weng
2025 J jnl
Interpreting Neurons in Deep Vision Networks with Language Models.
Trans. Mach. Learn. Res.
Nicholas Bai, Rahul A. Iyer, Tuomas P. Oikarinen, Akshay R. Kulkarni, Tsui-Wei Weng
2025 J jnl
Rethinking Crowd-Sourced Evaluation of Neuron Explanations.
CoRR
Tuomas P. Oikarinen, Ge Yan, Akshay R. Kulkarni, Tsui-Wei Weng
2025 A conf
SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness.
WACV
Anvita A. Srinivas, Tuomas P. Oikarinen, Divyansh Srivastava, Wei-Hung Weng, Tsui-Wei Weng
2024 J jnl
Concept Bottleneck Language Models For protein design.
CoRR
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
2024 J jnl
Concept Bottleneck Large Language Models.
CoRR
Chung-En Sun, Tuomas P. Oikarinen, Berk Ustun, Tsui-Wei Weng
2024 J jnl
Concept-Driven Continual Learning.
Trans. Mach. Learn. Res.
Sin-Han Yang, Tuomas P. Oikarinen, Tsui-Wei Weng
2024 J jnl
Crafting Large Language Models for Enhanced Interpretability.
CoRR
Chung-En Sun, Tuomas P. Oikarinen, Tsui-Wei Weng
2024 J jnl
Describe-and-Dissect: Interpreting Neurons in Vision Networks with Language Models.
CoRR
Nicholas Bai, Rahul A. Iyer, Tuomas P. Oikarinen, Tsui-Wei Weng
2024 A* conf
Linear Explanations for Individual Neurons.
ICML
Tuomas P. Oikarinen, Tsui-Wei Weng
2024 J jnl
Linear Explanations for Individual Neurons.
CoRR
Tuomas P. Oikarinen, Tsui-Wei Weng
2023 A* conf
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks.
ICLR
Tuomas P. Oikarinen, Tsui-Wei Weng
2023 J jnl
Concept-Monitor: Understanding DNN training through individual neurons.
CoRR
Mohammad Ali Khan, Tuomas P. Oikarinen, Tsui-Wei Weng
2023 A* conf
Corrupting Neuron Explanations of Deep Visual Features.
ICCV
Divyansh Srivastava, Tuomas P. Oikarinen, Tsui-Wei Weng
2023 J jnl
Corrupting Neuron Explanations of Deep Visual Features.
CoRR
Divyansh Srivastava, Tuomas P. Oikarinen, Tsui-Wei Weng
2023 J jnl
Label-Free Concept Bottleneck Models.
CoRR
Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng
2023 A* conf
Label-free Concept Bottleneck Models.
ICLR
Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng
2023 J jnl
The Importance of Prompt Tuning for Automated Neuron Explanations.
CoRR
Justin Lee, Tuomas P. Oikarinen, Arjun Chatha, Keng-Chi Chang, Yilan Chen, Tsui-Wei Weng
2022 J jnl
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks.
CoRR
Tuomas P. Oikarinen, Tsui-Wei Weng
2021 B conf
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems.
IJCNN
Tuomas P. Oikarinen, Daniel C. Hannah, Sohrob Kazerounian
2021 A* conf
Robust Deep Reinforcement Learning through Adversarial Loss.
NeurIPS
Tuomas P. Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
2020 J jnl
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems.
CoRR
Tuomas P. Oikarinen, Daniel C. Hannah, Sohrob Kazerounian
2020 J jnl
Robust Deep Reinforcement Learning through Adversarial Loss.
CoRR
Tuomas P. Oikarinen, Tsui-Wei Weng, Luca Daniel
2019 J jnl
Landslide Geohazard Assessment With Convolutional Neural Networks Using Sentinel-2 Imagery Data.
CoRR
Silvia Liberata Ullo, Maximillian S. Langenkamp, Tuomas P. Oikarinen, Maria P. del Rosso, Alessandro Sebastianelli, Federica Piccirillo, Stefania Sica
2019 C conf
Landslide Geohazard Assessment with Convolutional Neural Networks Using Sentinel-2 Imagery Data.
IGARSS
Silvia Liberata Ullo, Maximillian S. Langenkamp, Tuomas P. Oikarinen, Maria Pia del Rosso, Alessandro Sebastianelli, Federica Piccirillo, Stefania Sica