Learning Prescriptive ReLU Networks
- Wei Sun
- Asterios Tsiourvas
- 2023
- ICML 2023
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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Proper Scoring Rules for Survival Analysis
- Hiroki Yanagisawa
- 2023
- ICML 2023
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
- Wang Zhang
- Tsui-Wei Weng
- et al.
- 2023
- ICML 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- Timothy Castiglia
- Yi Zhou
- et al.
- 2023
- ICML 2023
Regression with Sensor Data Containing Incomplete Observations
- 2023
- ICML 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
- Tianchun Wang
- Farzaneh Mirzazadeh
- et al.
- 2023
- ICML 2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
- Hiroshi Kajino
- Kohei Miyaguchi
- et al.
- 2023
- ICML 2023
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
- Eldad Haber
- Brian Irwin
- et al.
- 2023
- ICML 2023
Identification of the Adversary from a Single Adversarial Example
- Minhao Cheng
- Rui Min
- et al.
- 2023
- ICML 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
- Yihao Xue
- Siddharth Joshi
- et al.
- 2023
- ICML 2023