Publications

113 results at NeurIPS 2023

Characterizing pre-trained and task-adapted molecular representations
- - Celia Cintas
  - Payel Das
  - et al.
- 2023
- 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
Large Language Model Routing with Benchmark Datasets
- - Tal Shnitzer
  - Anthony Ou
  - et al.
- 2023
- NeurIPS 2023
Weakly Supervised Detection of Hallucinations in LLM Activations
- - Miriam Rateike
  - Celia Cintas
  - et al.
- 2023
- NeurIPS 2023
Using Foundation Models to Promote Digitization and Reproducibility in Scientific Experimentation
- - Amol Thakkar
  - Andrea Giovannini
  - et al.
- 2023
- NeurIPS 2023
Capturing Formulation Design of Battery Electrolytes with Chemical Large Language Model
- - Eduardo Almeida Soares
  - Vidushi Sharma
  - et al.
- 2023
- NeurIPS 2023
Risk Assessment and Statistical Significance in the Age of Foundation Models
- - Apoorva Nitsure
  - Youssef Mroueh
  - et al.
- 2023
- NeurIPS 2023
Quantum Theory and Application of Contextual Optimal Transport
- - Nicola Mariella
  - Jannis Born
  - et al.
- 2023
- NeurIPS 2023
Beyond Chemical Language: A Multimodal Approach to Enhance Molecular Property Prediction
- 2023
- NeurIPS 2023