Cost-Aware Counterfactuals for Black Box Explanations
- Natalia Martinez Gil
- Kanthi Sarpatwar
- et al.
- 2023
- NeurIPS 2023
Workshop paper
Publications
1671 results for Machine Learning
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- Michael Hersche
- Francesco Di Stefano
- et al.
- 2023
- NeurIPS 2023
Workshop paperMHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
- Akihiro Kishimoto
- Hiroshi Kajino
- et al.
- 2023
- NeurIPS 2023
Workshop paperLearning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
- 2023
- NeurIPS 2023
Workshop paperSymbolic Learning for Material Discovery
- Daniel Cunnington
- Flaviu Cipcigan
- et al.
- 2023
- NeurIPS 2023
Workshop paperOn Representations of Mean-Field Variational Inference
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2023
- NeurIPS 2023
Workshop paperEstimating Fréchet bounds for validating programmatic weak supervision
- Felipe Maia Polo
- Mikhail Yurochkin
- et al.
- 2023
- NeurIPS 2023
Workshop paperAlphaFold Distillation for Protein Design
- Igor Melnyk
- Aurelie Lozano
- et al.
- 2023
- NeurIPS 2023
Workshop paperCausal Markov Blanket Representation Learning for Out-of-distribution Generalization
- Naiyu Yin
- Hanjing Wang
- et al.
- 2023
- NeurIPS 2023
Workshop paperUnderstanding Mode Connectivity via Parameter Space Symmetry
- Bo Zhao
- Nima Dehmamy
- et al.
- 2023
- NeurIPS 2023
Workshop paper