ICML 2023 Workshop IMLH Submissions

GraphChef: Learning the Recipe of Your Dataset
Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Oral
- Readers: Everyone
Longitudinal Variational Autoencoder for Compositional Data Analysis
Mine Öğretir, Harri Lähdesmäki, Jamie Norton
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
Deep Learning Approach for Cardiac Electrophysiology Model Correction
Victoriya Kashtanova, Mihaela Pop, patrick gallinari, Maxime Sermesant
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
Efficient Estimation of Local Robustness of Machine Learning Models
Tessa Han, Suraj Srinivas, Himabindu Lakkaraju
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
What Works in Chest X-Ray Classification? A Case Study of Design Choices
Evan Vogelbaum, Logan Engstrom, Aleksander Madry
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
Towards Interpretable Classification of Leukocytes based on Deep Learning
Stefan Röhrl, Johannes Groll, Manuel Lengl, Simon Schumann, Christian Klenk, Dominik Heim, Martin Knopp, Oliver Hayden, Klaus Diepold
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
Why Deep Models Often Cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Jun Xia, Lecheng Zhang, Xiao Zhu, Stan Z. Li
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer
Song Wei, Ronald Moore, Hanyu Zhang, Yao Xie, Rishikesan Kamaleswaran
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
Discovering Mental Health Research Topics with Topic Modeling
Xin Gao, Cem Sazara
- Published: 20 Jun 2023, Last Modified: 20 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
Generalizing Neural Additive Models via Statistical Multimodal Analysis
Young Kyung Kim, Juan Matias Di Martino, Guillermo Sapiro
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone