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ORCIDTuomas P. Oikarinen
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2020 – today
- 2024
[c7]Tuomas P. Oikarinen, Tsui-Wei Weng:
Linear Explanations for Individual Neurons. ICML 2024- [i11]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) - [i10]Tuomas P. Oikarinen, Tsui-Wei Weng:
Linear Explanations for Individual Neurons. CoRR abs/2405.06855 (2024) - [i9]Chung-En Sun, Tuomas P. Oikarinen, Tsui-Wei Weng:
Crafting Large Language Models for Enhanced Interpretability. CoRR abs/2407.04307 (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)
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