Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets
- Manuel John
- Julian Schuhmacher
- et al.
- 2023
- Entropy
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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10 results at Entropy
Revisiting Sequential Information Bottleneck: New Implementation and Evaluation
- Assaf Toledo
- Elad Venezian
- et al.
- 2022
- Entropy
A Maximal Correlation Framework for Fair Machine Learning
- Joshua Lee
- Yuheng Bu
- et al.
- 2022
- Entropy
Convergence behavior of DNNs with mutual-information-based regularization
- Hlynur Jónsson
- Giovanni Cherubini
- et al.
- 2020
- Entropy
Mutual information based learning rate decay for stochastic gradient descent training of deep neural networks
- Shrihari Vasudevan
- 2020
- Entropy
Efficient algorithms for coded multicasting in heterogeneous caching networks
- Giuseppe Vettigli
- Mingyue Ji
- et al.
- 2019
- Entropy
On the reliability function of variable-rate slepian-wolf coding
- Jun Chen
- Da-Ke He
- et al.
- 2017
- Entropy
A More General Quantum Credit Risk Analysis Framework
- Emanuele Dri
- Antonello Aita
- et al.
- 2023
- Entropy
Interventional fairness with indirect knowledge of unobserved protected attributes
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2021
- Entropy
Ensemble estimation of information divergence
- Kevin R. Moon
- Kumar Sricharan
- et al.
- 2018
- Entropy