| Label-free Concept Bottleneck Models T Oikarinen, S Das, LM Nguyen, TW Weng International Conference on Learning Representations, 2023 | 130 | 2023 |
| Robust deep reinforcement learning through adversarial loss T Oikarinen, W Zhang, A Megretski, L Daniel, TW Weng Advances in Neural Information Processing Systems 34, 26156-26167, 2021 | 94 | 2021 |
| Deep convolutional network for animal sound classification and source attribution using dual audio recordings T Oikarinen, K Srinivasan, O Meisner, JB Hyman, S Parmar, ... The Journal of the Acoustical Society of America 145 (2), 654-662, 2019 | 73 | 2019 |
| CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks T Oikarinen, TW Weng The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 67 | 2022 |
| GraphMDN: Leveraging graph structure and deep learning to solve inverse problems T Oikarinen, D Hannah, S Kazerounian 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 35 | 2021 |
| Landslide geohazard assessment with convolutional neural networks using sentinel-2 imagery data SL Ullo, MS Langenkamp, TP Oikarinen, MP Del Rosso, A Sebastianelli, ... IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 35 | 2019 |
| Describe-and-dissect: Interpreting neurons in vision networks with language models N Bai, RA Iyer, T Oikarinen, TW Weng arXiv preprint arXiv:2403.13771, 2024 | 5 | 2024 |
| The Importance of Prompt Tuning for Automated Neuron Explanations J Lee, T Oikarinen, A Chatha, KC Chang, Y Chen, TW Weng arXiv preprint arXiv:2310.06200, 2023 | 4 | 2023 |
| Crafting large language models for enhanced interpretability CE Sun, T Oikarinen, TW Weng arXiv preprint arXiv:2407.04307, 2024 | 2 | 2024 |
| Linear Explanations for Individual Neurons T Oikarinen, TW Weng arXiv preprint arXiv:2405.06855, 2024 | 2 | 2024 |
| Concept-Monitor: Understanding DNN training through individual neurons MA Khan, T Oikarinen, TW Weng arXiv preprint arXiv:2304.13346, 2023 | 1 | 2023 |
| Corrupting neuron explanations of deep visual features D Srivastava, T Oikarinen, TW Weng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Concept Bottleneck Language Models For protein design AA Ismail, T Oikarinen, A Wang, J Adebayo, S Stanton, T Joren, ... arXiv preprint arXiv:2411.06090, 2024 | | 2024 |
| Concept Bottleneck Language Models For protein design A Abdelsalam Ismail, T Oikarinen, A Wang, J Adebayo, S Stanton, T Joren, ... arXiv e-prints, arXiv: 2411.06090, 2024 | | 2024 |
| Method, product, and system for detecting malicious network activity using a graph mixture density neural network S Kazerounian, DC Hannah, TP Oikarinen US Patent 11,880,764, 2024 | | 2024 |
| Similar failures of consideration arise in human and machine planning A Zhang, M Langenkamp, M Kleiman-Weiner, T Oikarinen, F Cushman PsyArXiv, 2023 | | 2023 |
| Concept-Driven Continual Learning SH Yang, T Oikarinen, TW Weng Transactions on Machine Learning Research, 0 | | |
| Towards Interpretable Continual Learning Through Controlling Concepts SH Yang, T Oikarinen, TW Weng | | |
Tsui-Wei WengUCSDE-mail confirmado em ucsd.edu