Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
- Yue Yu
- Ning Liu
- et al.
- 2024
- NeurIPS 2024
Publications
1575 results for Machine Learning
Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
- Wenzhi Fang
- Dong-jun Han
- et al.
- 2024
- NeurIPS 2024
A TWO-SCALE COMPLEXITY MEASURE FOR DEEP LEARNING MODELS
- Massimiliano Datres
- Gian Paolo Leonardi
- et al.
- 2024
- NeurIPS 2024
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- Hao-lun Sun
- Lei Hsiung
- et al.
- 2024
- NeurIPS 2024
Dense Associative Memory Through the Lens of Random Features
- Benjamin Hoover
- Duen Horng Chau
- et al.
- 2024
- NeurIPS 2024
Geometry of naturalistic object representations in recurrent neural network models of working memory
- Xiaoxuan Lei
- Taku Ito
- et al.
- 2024
- NeurIPS 2024
Limits of Transformer Language Models on Learning to Compose Algorithms
- Jonathan Thomm
- Giacomo Camposampiero
- et al.
- 2024
- NeurIPS 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
- Giangiacomo Mercatali
- Andre Freitas
- et al.
- 2024
- NeurIPS 2024
Towards Exact Gradient-based Training on Analog In-memory Computing
- Zhaoxian Wu
- Tayfun Gokmen
- et al.
- 2024
- NeurIPS 2024