Probabilistic Attention-to-Influence Neural Models for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- ICML 2023
Publications
Unifying Molecular and Textual Representations via Multi-task Language Modelling
- Dimitrios Christofidellis
- Giorgio Giannone
- et al.
- 2023
- ICML 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
- Tianchun Wang
- Farzaneh Mirzazadeh
- et al.
- 2023
- ICML 2023
Bilevel Optimization with Coupled Decision-Dependent Distributions
- Songtao Lu
- 2023
- ICML 2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
- Hiroshi Kajino
- Kohei Miyaguchi
- et al.
- 2023
- ICML 2023
Regression with Sensor Data Containing Incomplete Observations
- 2023
- ICML 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- Timothy Castiglia
- Yi Zhou
- et al.
- 2023
- ICML 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- Minghao Guo
- Veronika Thost
- et al.
- 2023
- ICML 2023
Simple Disentanglement of Style and Content in Visual Representations
- Lilian Ngweta
- Subha Maity
- et al.
- 2023
- ICML 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- Yonggui Yan
- Jie Chen
- et al.
- 2023
- ICML 2023