Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
- Anthony Baez
- Wang Zhang
- et al.
- 2024
- NeurIPS 2024
Publications
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- Machine Learning
1423 results for Machine Learning
On the role of noise in factorizers for disentangling distributed representations
- 2024
- NeurIPS 2024
Regress, Don’t Guess – A Regression-like Loss on Number Tokens for Language Models
- Jonas Zausinger
- Lars Pennig
- et al.
- 2024
- NeurIPS 2024
Recurrent Transformers Trade-off Parallelism for Length Generalization on Regular Languages
- Paul Soulos
- Aleksandar Terzic
- et al.
- 2024
- NeurIPS 2024
Vector Quantization with Sorting Transformation
- Hongzhi Wang
- Tanveer Syeda-Mahmood
- 2024
- NeurIPS 2024
Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations
- 2024
- NeurIPS 2024
Towards Unbiased Evaluation of Time-series Anomaly Detector
- Debarpan Bhattacharyya
- Sumanta Mukherjee
- et al.
- 2024
- NeurIPS 2024
Deep Clustering with Associative Memories
- Bishwajit Saha
- Dmitry Krotov
- et al.
- 2024
- NeurIPS 2024
Global Area Sampling for Geospatial Foundation Model
- 2024
- AGU 2024
Towards Multi Modal Geospatial Foundation Models With Multiple Resolutions
- 2024
- AGU 2024