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ORCIDTuomas P. Oikarinen
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- affiliation: University of California San Diego, CA, USA
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2020 – today
- 2025
[j2]Nicholas Bai, Rahul A. Iyer, Tuomas P. Oikarinen, Akshay R. Kulkarni, Tsui-Wei Weng:
Interpreting Neurons in Deep Vision Networks with Language Models. Trans. Mach. Learn. Res. 2025 (2025)- [c12]Akshay R. Kulkarni
, Ge Yan, Chung-En Sun, Tuomas P. Oikarinen, Tsui-Wei Weng:
Interpretable Generative Models through Post-hoc Concept Bottlenecks. CVPR 2025: 8162-8171 - [c11]Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Don Stanton, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey:
Concept Bottleneck Language Models For Protein Design. ICLR 2025 - [c10]Chung-En Sun, Tuomas P. Oikarinen, Berk Ustun, Tsui-Wei Weng:
Concept Bottleneck Large Language Models. ICLR 2025 - [c9]Tuomas P. Oikarinen, Ge Yan, Tsui-Wei Weng:
Evaluating Neuron Explanations: A Unified Framework with Sanity Checks. ICML 2025 - [c8]Anvita A. Srinivas, Tuomas P. Oikarinen, Divyansh Srivastava, Wei-Hung Weng, Tsui-Wei Weng:
SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness. WACV 2025: 2993-3002 - [i16]Akshay R. Kulkarni, Ge Yan, Chung-En Sun, Tuomas P. Oikarinen, Tsui-Wei Weng:
Interpretable Generative Models through Post-hoc Concept Bottlenecks. CoRR abs/2503.19377 (2025) - [i15]Tuomas P. Oikarinen, Ge Yan, Tsui-Wei Weng:
Evaluating Neuron Explanations: A Unified Framework with Sanity Checks. CoRR abs/2506.05774 (2025) - [i14]Tuomas P. Oikarinen, Ge Yan, Akshay R. Kulkarni, Tsui-Wei Weng:
Rethinking Crowd-Sourced Evaluation of Neuron Explanations. CoRR abs/2506.07985 (2025) - 2024
- [j1]Sin-Han Yang, Tuomas P. Oikarinen, Tsui-Wei Weng:
Concept-Driven Continual Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c7]Tuomas P. Oikarinen, Tsui-Wei Weng:
Linear Explanations for Individual Neurons. ICML 2024 - [i13]Nicholas Bai, Rahul A. Iyer, Tuomas P. Oikarinen, Tsui-Wei Weng:
Describe-and-Dissect: Interpreting Neurons in Vision Networks with Language Models. CoRR abs/2403.13771 (2024) - [i12]Tuomas P. Oikarinen, Tsui-Wei Weng:
Linear Explanations for Individual Neurons. CoRR abs/2405.06855 (2024) - [i11]Chung-En Sun, Tuomas P. Oikarinen, Tsui-Wei Weng:
Crafting Large Language Models for Enhanced Interpretability. CoRR abs/2407.04307 (2024) - [i10]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:
Concept Bottleneck Language Models For protein design. CoRR abs/2411.06090 (2024) - [i9]Chung-En Sun, Tuomas P. Oikarinen, Berk Ustun, Tsui-Wei Weng:
Concept Bottleneck Large Language Models. CoRR abs/2412.07992 (2024) - 2023
- [c6]Divyansh Srivastava, Tuomas P. Oikarinen, Tsui-Wei Weng:
Corrupting Neuron Explanations of Deep Visual Features. ICCV 2023: 1877-1886 - [c5]Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng:
Label-free Concept Bottleneck Models. ICLR 2023 - [c4]Tuomas P. Oikarinen, Tsui-Wei Weng:
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks. ICLR 2023 - [i8]Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng:
Label-Free Concept Bottleneck Models. CoRR abs/2304.06129 (2023) - [i7]Mohammad Ali Khan, Tuomas P. Oikarinen, Tsui-Wei Weng:
Concept-Monitor: Understanding DNN training through individual neurons. CoRR abs/2304.13346 (2023) - [i6]Justin Lee, Tuomas P. Oikarinen, Arjun Chatha, Keng-Chi Chang, Yilan Chen, Tsui-Wei Weng:
The Importance of Prompt Tuning for Automated Neuron Explanations. CoRR abs/2310.06200 (2023) - [i5]Divyansh Srivastava, Tuomas P. Oikarinen, Tsui-Wei Weng:
Corrupting Neuron Explanations of Deep Visual Features. CoRR abs/2310.16332 (2023) - 2022
- [i4]Tuomas P. Oikarinen, Tsui-Wei Weng:
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks. CoRR abs/2204.10965 (2022) - 2021
- [c3]Tuomas P. Oikarinen, Daniel C. Hannah, Sohrob Kazerounian:
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems. IJCNN 2021: 1-9 - [c2]Tuomas P. Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng:
Robust Deep Reinforcement Learning through Adversarial Loss. NeurIPS 2021: 26156-26167 - 2020
- [i3]Tuomas P. Oikarinen, Tsui-Wei Weng, Luca Daniel:
Robust Deep Reinforcement Learning through Adversarial Loss. CoRR abs/2008.01976 (2020) - [i2]Tuomas P. Oikarinen, Daniel C. Hannah, Sohrob Kazerounian:
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems. CoRR abs/2010.13668 (2020)
2010 – 2019
- 2019
- [c1]Silvia Liberata Ullo, Maximillian S. Langenkamp, Tuomas P. Oikarinen, Maria Pia del Rosso, Alessandro Sebastianelli, Federica Piccirillo, Stefania Sica:
Landslide Geohazard Assessment with Convolutional Neural Networks Using Sentinel-2 Imagery Data. IGARSS 2019: 9646-9649 - [i1]Silvia Liberata Ullo, Maximillian S. Langenkamp, Tuomas P. Oikarinen, Maria P. del Rosso, Alessandro Sebastianelli, Federica Piccirillo, Stefania Sica:
Landslide Geohazard Assessment With Convolutional Neural Networks Using Sentinel-2 Imagery Data. CoRR abs/1906.06151 (2019)
Coauthor Index
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last updated on 2025-12-08 11:13 CET by the dblp team
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