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| * '''Theme: AI for Health''' | | * '''Theme: AI for Health''' |
| * '''Instructor''': [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu] | | * '''Instructor''': [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu] |
− | * '''Semester''': '''Spring 2024''' | + | * '''Semester''': '''Fall 2024''' |
| * '''Time''': Wednesday at 1 PM | | * '''Time''': Wednesday at 1 PM |
| * '''Location''': McKelvey 1030 | | * '''Location''': McKelvey 1030 |
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| ==Presentation Schedule== | | ==Presentation Schedule== |
− | === ---Jan 24 ---===
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− | Hangyue
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− | Krishnamachari, Kiran, See-Kiong Ng, and Chuan-Sheng Foo. "Mitigating Real-World Distribution Shifts in the Fourier Domain." Transactions on Machine Learning Research (2023). [https://openreview.net/pdf?id=lu4oAq55iK]
| + | === ---Sep 11 ---=== |
| + | Ziqi |
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− | === ---Jan 31 ---===
| + | Gawlikowski, J., Tassi, C.R.N., Ali, M. et al. A survey of uncertainty in deep neural networks. Artif Intell Rev 56 (Suppl 1), 1513–1589 (2023). [https://doi.org/10.1007/s10462-023-10562-9] |
− | Ruiqi
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− | Faure, Gueter Josmy, Min-Hung Chen, and Shang-Hong Lai. "Holistic interaction transformer network for action detection." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 3340-3350. 2023. [https://openaccess.thecvf.com/content/WACV2023/papers/Faure_Holistic_Interaction_Transformer_Network_for_Action_Detection_WACV_2023_paper.pdf]
| + | === ---Sep 18 ---=== |
| + | Daoyi |
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− | === ---Feb 07 ---=== | + | Hüyük, A., Wei, Q., Curth, A. and van der Schaar, M., 2024. Defining Expertise: Applications to Treatment Effect Estimation. arXiv preprint arXiv:2403.00694. [https://openreview.net/pdf?id=1YPfmglNRU] |
− | Jizhou
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− | Parikh, Harsh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, and Alexander Volfovsky. "Estimating Trustworthy and Safe Optimal Treatment Regimes." arXiv preprint arXiv:2310.15333 (2023). [https://arxiv.org/pdf/2310.15333.pdf]
| + | === ---Sep 25 ---=== |
| + | Jason |
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− | === ---Feb 14 ---=== | + | === ---Oct 02 ---=== |
| Ben | | Ben |
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− | M. Wornow, R. Thapa, E. Steinberg, J. A. Fries, and N. H. Shah, “EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models.” arXiv, Dec. 11, 2023. doi: 10.48550/arXiv.2307.02028.
| + | === ---Oct 09 ---=== |
| + | Claire |
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− | L. L. Guo et al., “A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records.” arXiv, Nov. 19, 2023. Available: http://arxiv.org/abs/2311.11483
| + | === ---Oct 16 ---=== |
| + | Wenyu |
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− | === ---Feb 21 ---=== | + | === ---Oct 23 ---=== |
− | Quan
| + | Di |
− | | |
− | Maus, N., Jones, H., Moore, J., Kusner, M. J., Bradshaw, J., & Gardner, J. (2022). Local latent space bayesian optimization over structured inputs. Advances in Neural Information Processing Systems, 35, 34505-34518. [https://proceedings.neurips.cc/paper_files/paper/2022/file/ded98d28f82342a39f371c013dfb3058-Paper-Conference.pdf]
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− | | |
− | === ---Feb 28 ---===
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− | Ziqi
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− | | |
− | Oral exam practice
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− | | |
− | [1] Udandarao, Vishaal, et al. “COBRA: Contrastive Bi-Modal Representation Algorithm”, IJCAI (TUSION workshop) 2020. [https://arxiv.org/pdf/2005.03687.pdf]
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− | | |
− | [2] Han Zongbo, et al. “Trusted Multi-View Classification.” International Conference on Learning Representations (ICLR). 2020. [https://openreview.net/pdf?id=OOsR8BzCnl5]
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− | | |
− | [3] Zhenbang Wu et al. “Multimodal Patient Representation Learning with Missing Modalities and Labels”. International Conference on Learning Representations(ICLR), 2024. [https://openreview.net/pdf?id=Je5SHCKpPa]
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− | | |
− | === ---Mar 06 ---===
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− | Jiaming
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− | | |
− | Zhang, Nan, Yusen Zhang, Wu Guo, Prasenjit Mitra, and Rui Zhang. "FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 10915-10931. 2023. [https://aclanthology.org/2023.emnlp-main.673/]
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− | | |
− | === ---Mar 13 ---===
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− | Spring Break
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− | | |
− | === ---Mar 20 ---===
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− | Charles
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− | | |
− | Van Veen, Dave, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek et al. "Adapted large language models can outperform medical experts in clinical text summarization." Nature Medicine (2024): 1-9. [https://www.nature.com/articles/s41591-024-02855-5]
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− | | |
− | Liu, Nelson F., Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." Transactions of the Association for Computational Linguistics 12 (2024). [https://watermark.silverchair.com/tacl_a_00638.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAA0YwggNCBgkqhkiG9w0BBwagggMzMIIDLwIBADCCAygGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMTsi8yvo4NZXLClG1AgEQgIIC-QP6KIRyMwLTeCSsvdL7n7VJPdpYJCGAsJSiPlCTsp-P9R6vQOcOuIPoBpjnz9D9HVBMCrXGTFbtSQmvWVmvgAfTu7VE1NUuWAjc7T4Teb_vLoW0caty8PI8NHhhRtXhzTXLC-wOFTaJKgHS3gwA3_oqoTt06gd0qpx9k_cHNP4Vw3OgxNsk39Wog6hdiwyHSuAZ712xY2sBX4jOSby0gjy87KpHWahepzE7zosvbtoCvxB8KbhxwBJJeI22rKoOddd7Gbk0YguJaLMGGRQ7jARou-smLx6v85j3hXMNd__daTr9o7keU_051aiZogDovfrEwqXc7TxMu0XHsVqjot8n16cwun61Y-V5-ll8Ov7wywFcZ9Zt5YWcsSMpx0Zmm7fjz-ocfc1mg_v6ge3HT7uWljVzqP-olpG7CxZbZMjv_sRuV8uaFM78BCrIltCcKNkZSZchckk-BT07vSYTltFcPVx6XpA0g77m2Pnd-Anu-yU8f0PTqyBxGJEw2B0FE5Oo1xGhj8RjcaM0GsA41t5miGQk_WqRdiM8M04dSyc3WG0LZwNaCNT6NVn8tqWMHu1ZaYhY2_FfsYuCEKBvQ7FMsuNym0Qhgc9TKtO3IWj8-3Hod17xvLSuC1xgR4vI07elBv20eFyhQVEmfqCQugfEEpVIVp_zJLZRJDazZrzrm-PbTkDyGjQV7Wc1-Yq_ObsJbScuGxAvi0hprJxftxj6GkGMWVfX9LyZQy6R0v6nsuz8GWYo1fVMeP6j2Y7BjT65igxFbIdS4WCo7foMJbp_0giJIqsTBw5Ai4QqHQqHgJdNwdKB6NkE1B5aJoKYF1_fh4FW8t_0dDo1tbG_TctAMRRqsYcPAjIZfncmxxgOwqWFEg5p1tpT84a-MOFesnvtK1mb2rOaWtcRRL0OnQv83QMVNJMZpF6lylIjGa7LRcRPh5G_JsljtEHSgzMUIkfSs-U0Rx4Wa7xRAd_Mi7cIbKiY_R1V4VawRr40U2LvQ3OHr4Cj3yLe]
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− | | |
− | === ---Mar 27 ---===
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− | Jingwen
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− | | |
− | Gouareb, Racha, Alban Bornet, Dimitrios Proios, Sónia Gonçalves Pereira, and Douglas Teodoro. "Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks: A Retrospective Study." Health Data Science 3 (2023): 0099. [https://spj.science.org/doi/full/10.34133/hds.0099]
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− | | |
− | === ---Apr 03 ---===
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− | Hanyang
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− | | |
− | Jin, Ming, et al. "Time-llm: Time series forecasting by reprogramming large language models." ICLR 2024.
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− | | |
− | === ---Apr 10 ---===
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− | Zebo
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− | | |
− | === ---Apr 17 ---===
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− | Claire
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− | | |
− | === ---Apr 24 ---===
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− | Daoyi
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| + | === ---Oct 30 ---=== |
| + | Behrooz |
| | | |
− | === ---May 1 / May 8 ---=== | + | === ---Nov 06 ---=== |
− | Hanyang
| + | Prince |
| | | |
− | Topic: Individual continuous treatment effect analysis.
| + | === ---Nov 13 ---=== |
| + | Zichen |
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− | [1] Nie, Lizhen, et al. "Vcnet and functional targeted regularization for learning causal effects of continuous treatments." ICLR 2021.
| + | === ---Nov 20 ---=== |
| + | Peiqi |
| | | |
− | [2] Zhang, Yi-Fan, et al. "Exploring transformer backbones for heterogeneous treatment effect estimation." NeurIPS 2022.
| + | === ---Nov 27 ---=== |
| + | Thanksgiving |
| | | |
− | [3] Nagalapatti, Lokesh, et al. "Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing." AAAI 2024. https://arxiv.org/pdf/2401.15447.pdf
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| ==Previous Semesters== | | ==Previous Semesters== |
| + | * [[Seminar Spring 2024|Spring 2024]] |
| * [[Seminar Fall 2023|Fall 2023]] | | * [[Seminar Fall 2023|Fall 2023]] |
| * [[Seminar Spring 2023|Spring 2023]] | | * [[Seminar Spring 2023|Spring 2023]] |