Characterizing pre-trained and task-adapted molecular representations
- Celia Cintas
- Payel Das
- et al.
- 2023
- NeurIPS 2023
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113 results at NeurIPS 2023
Sequential data-consistent model inversion
- Tim Rumbell
- Catherine Wanjiru
- et al.
- 2023
- NeurIPS 2023
On Representations of Mean-Field Variational Inference
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2023
- NeurIPS 2023
Understanding Mode Connectivity via Parameter Space Symmetry
- Bo Zhao
- Nima Dehmamy
- et al.
- 2023
- NeurIPS 2023
Learning hard distributions with quantum-enhanced variational autoencoders
- Anantha Rao
- Dhiraj Madan
- et al.
- 2023
- NeurIPS 2023
Coarse-graining via reparametrization avoids force matching and back-mapping
- Nima Dehmamy
- Csaba Both
- et al.
- 2023
- NeurIPS 2023
Parameter Efficient Finetuning for Reducing Activation Density in Transformers
- Bharat Runwal
- Tejaswini Pedapati
- et al.
- 2023
- NeurIPS 2023
International Workshop on Federated Learning in the Age of Foundation Models
- Jinghui Chen
- Lixin Fan
- et al.
- 2023
- NeurIPS 2023
2nd Edition of Gaze Meets ML Workshop
- Amarachi Blessing Mbakwe
- Joy Wu
- et al.
- 2023
- NeurIPS 2023
Associative Memory & Hopfield Networks in 2023
- Parikshit Ram
- Hilde Kuehne
- et al.
- 2023
- NeurIPS 2023