Publications

1651 results for Machine Learning

Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions
- - Ning Yang
  - Yuhai Tu
  - et al.
- 2023
- APS March Meeting 2023
Talk
Reversing the irreversible–super-resolution of noisy turbulent flow fields
- - Malgorzata Zimon
  - Mykhaylo Zayats
  - et al.
- 2023
- APS March Meeting 2023
Talk
Automated patent classification for crop protection via domain adaptation
- - Dimitrios Christofidellis
  - Marzena Maria Lehmann
  - et al.
- 2023
- Appl. AI Lett.
Paper
Tools for Synthesis Planning, Automation, and Analytical Data Analysis
- - Miruna Cretu
  - Marvin Alberts
  - et al.
- 2023
- Chimia
Review
Automating and Accelerating Scientific Discovery – Continuous and Discontinuous Experimentation Setups for Polymer Research and High-Quality Dataset Generation
- - Tim Erdmann
  - Nathaniel Park
  - et al.
- 2023
- MaRDA 2023
Invited talk
Position Paper on Dataset Engineering to Accelerate Science
- - Emilio Ashton Vital Brazil
  - Eduardo Almeida Soares
  - et al.
- 2023
- AAAI 2023
Workshop paper
When Machine Learning meets Dynamical Systems: Theory and Applications
- - Lam Nguyen
  - Trang H. Tran
  - et al.
- 2023
- AAAI 2023
Workshop
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming
- - Huzaifa Arif
  - Alex Gittens
  - et al.
- 2023
- IEEE SaTML 2023
Conference paper
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
- - Sourya Basu
  - Prasanna Sattigeri
  - et al.
- 2023
- AAAI 2023
Poster
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
- - Debarun Bhattacharjya
  - Tian Gao
  - et al.
- 2023
- AAAI 2023
Poster