Difference between revisions of "CSE 7300 Research Seminar"

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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
Line 12: Line 12:
  
 
==Presentation Schedule==
 
==Presentation Schedule==
−
=== ---Jan 24 ---===
 
−
Hangyue
 
  
−
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
 +
 
 +
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]
  
−
=== ---Jan 31 ---===
+
=== ---Sep 18 ---===
−
Ruiqi
+
Daoyi
  
−
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]
+
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]
  
−
=== ---Feb 07 ---===
+
=== ---Sep 25 ---===
−
Jizhou
+
Jason
  
−
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]
+
Park, C., Awadalla, A., Kohno, T., & Patel, S. (2021). Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. W. Vaughan (Eds.), Advances in Neural Information Processing Systems (Vol. 34, pp. 3043–3056).
 +
[https://proceedings.neurips.cc/paper_files/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf]
  
−
=== ---Feb 14 ---===
+
=== ---Oct 02 ---===
 
Ben
 
Ben
  
−
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.
+
Bick, A., Li, K.Y., Xing, E.P., Kolter, J.Z. and Gu, A., 2024. Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models. arXiv preprint arXiv:2408.10189. [https://arxiv.org/pdf/2408.10189]
  
−
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
+
Dao, T. and Gu, A., 2024. Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality. arXiv preprint arXiv:2405.21060. [https://arxiv.org/pdf/2405.21060]
  
−
=== ---Feb 21 ---===
+
=== ---Oct 09 ---===
−
Quan
+
Claire
−
 
 
−
=== ---Feb 28 ---===
 
−
Ziqi
 
  
−
Oral exam practice
+
Qian Z, Zhang Y, Bica I, Wood A, van der Schaar M. Synctwin: Treatment effect estimation with longitudinal outcomes. Advances in Neural Information Processing Systems. 2021 Dec 6;34:3178-90. [https://proceedings.neurips.cc/paper_files/paper/2021/file/19485224d128528da1602ca47383f078-Paper.pdf]
  
−
=== ---Mar 06 ---===
+
=== ---Oct 16 ---===
−
Jiaming
+
Wenyu
  
−
=== ---Mar 13 ---===
+
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi. 2024. Faith and fate: limits of transformers on compositionality. In Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS '23). Curran Associates Inc., Red Hook, NY, USA, Article 3081, 70293–70332.
−
Spring Break
+
[https://dl.acm.org/doi/10.5555/3666122.3669203]
  
−
=== ---Mar 20 ---===
+
=== ---Oct 23 ---===
−
Charles
+
Di
  
−
=== ---Mar 27 ---===
+
=== ---Oct 30 ---===
−
Claire
+
Behrooz
  
−
=== ---Apr 03 ---===
+
=== ---Nov 06 ---===
−
Zebo
+
Prince
  
−
=== ---Apr 10 ---===
+
=== ---Nov 13 ---===
−
Jingwen
+
Zichen
  
−
=== ---Apr 17 ---===
+
=== ---Nov 20 ---===
−
Hanyang
+
Peiqi
  
−
=== ---Apr 24 ---===
+
=== ---Nov 27 ---===
−
Daoyi
+
Thanksgiving
  
  
 
==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]]

Revision as of 22:51, 12 October 2024

  • Theme: AI for Health
  • Instructor: Prof. Chenyang Lu
  • Semester: Fall 2024
  • Time: Wednesday at 1 PM
  • Location: McKelvey 1030
  • Guidelines:
  • Recommended sources: NeurIPS ([1]), ICML ([2]), AAAI ([3]), SIGKDD ([4]), IJCAI ([5]), IMWUT ([6]), HEALTH ([7]), Digital Medicine ([8]), Lancet Digital Health ([9]), NEJM AI ([10])

Presentation Schedule

---Sep 11 ---

Ziqi

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). [11]

---Sep 18 ---

Daoyi

Hüyük, A., Wei, Q., Curth, A. and van der Schaar, M., 2024. Defining Expertise: Applications to Treatment Effect Estimation. arXiv preprint arXiv:2403.00694. [12]

---Sep 25 ---

Jason

Park, C., Awadalla, A., Kohno, T., & Patel, S. (2021). Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. W. Vaughan (Eds.), Advances in Neural Information Processing Systems (Vol. 34, pp. 3043–3056). [13]

---Oct 02 ---

Ben

Bick, A., Li, K.Y., Xing, E.P., Kolter, J.Z. and Gu, A., 2024. Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models. arXiv preprint arXiv:2408.10189. [14]

Dao, T. and Gu, A., 2024. Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality. arXiv preprint arXiv:2405.21060. [15]

---Oct 09 ---

Claire

Qian Z, Zhang Y, Bica I, Wood A, van der Schaar M. Synctwin: Treatment effect estimation with longitudinal outcomes. Advances in Neural Information Processing Systems. 2021 Dec 6;34:3178-90. [16]

---Oct 16 ---

Wenyu

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi. 2024. Faith and fate: limits of transformers on compositionality. In Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS '23). Curran Associates Inc., Red Hook, NY, USA, Article 3081, 70293–70332. [17]

---Oct 23 ---

Di

---Oct 30 ---

Behrooz

---Nov 06 ---

Prince

---Nov 13 ---

Zichen

---Nov 20 ---

Peiqi

---Nov 27 ---

Thanksgiving


Previous Semesters

Previous Lab Meetings

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