Publications

1505 results for Machine Learning

Analyzing Generalization of Neural Networks through Loss Path Kernels
- - Yilan Chen
  - Wei Huang
  - et al.
- 2023
- NeurIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- - Nicolas Menet
  - Michael Hersche
  - et al.
- 2023
- NeurIPS 2023
Duality and Sample Complexity for the Gromov-Wasserstein Distance
- - Zhengxin Zhang
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- - Michael Hersche
  - Francesco Di Stefano
  - et al.
- 2023
- NeurIPS 2023
Understanding Mode Connectivity via Parameter Space Symmetry
- - Bo Zhao
  - Nima Dehmamy
  - et al.
- 2023
- NeurIPS 2023
A Framework for Toxic PFAS Replacement based on GFlowNet and Chemical Foundation Model
- - Eduardo Almeida Soares
  - Flaviu Cipcigan
  - et al.
- 2023
- NeurIPS 2023
On Representations of Mean-Field Variational Inference
- - Soumyadip Ghosh
  - Yingdong Lu
  - et al.
- 2023
- NeurIPS 2023
Machine learning derived sub-seasonal to seasonal extremes
- - Daniel Salles Civitarese
  - Bianca Zadrozny
- 2023
- NeurIPS 2023
Outlier-Robust Group Inference via Gradient Space Clustering
- - Yuchen Zeng
  - Kristjan Greenewald
  - et al.
- 2023
- NeurIPS 2023
Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
- - Marvin Alberts
  - Federico Zipoli
  - et al.
- 2023
- NeurIPS 2023