Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
- Erik Altman
- Jovan Blanusa
- et al.
- 2023
- NeurIPS 2023
Publications
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and Insertions
- Kanat Tangwongsan
- Martin Hirzel
- et al.
- 2023
- VLDB 2023
PAC Generalization via Invariant Representations
- Advait Parulekar
- Karthikeyan Shanmugam
- et al.
- 2023
- ICML 2023
Data Efficient Neural Scaling Law via Model Reusing
- Peihao Wang
- Rameswar Panda
- et al.
- 2023
- ICML 2023
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics
- Pingchuan Ma
- Peter Yichen Chen
- et al.
- 2023
- ICML 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
- Zhiao Huang
- Litian Liang
- et al.
- 2023
- ICML 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
- Charlotte Loh
- Seungwook Han
- et al.
- 2023
- ICML 2023
PromptBoosting: Black-Box Text Classification with Ten Forward Passes
- Bairu Hou
- Joe O'Connor
- et al.
- 2023
- ICML 2023