Publications

88 results at NeurIPS 2024

AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
- - Julian Büchel
  - William Simon
  - et al.
- 2024
- NeurIPS 2024
Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based Representations
- - Eduardo Almeida Soares
  - Indra Priyadarsini S
  - et al.
- 2024
- NeurIPS 2024
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
- - Aamod Khatiwada
  - Harsha Kokel
  - et al.
- 2024
- NeurIPS 2024
MemReasoner: A Memory-augmented LLM Architecture for Multi-hop Reasoning
- - Irene Ko
  - Sihui Dai
  - et al.
- 2024
- NeurIPS 2024
Towards Unbiased Evaluation of Time-series Anomaly Detector
- - Debarpan Bhattacharyya
  - Sumanta Mukherjee
  - et al.
- 2024
- NeurIPS 2024
Better Bias Benchmarking of Language Models via Multi-factor Analysis
- - Hannah Powers
  - Ioana Baldini Soares
  - et al.
- 2024
- NeurIPS 2024
Fine-Tuned MLP-Mixers as data-driven Numerical Surrogates?
- - Imran Nasim
  - Joao Lucas de Sousa Almeida
- 2024
- NeurIPS 2024
Learning to Optimize Molecules with a Chemical Language Model
- - Jerret Ross
  - Samuel Hoffman
  - et al.
- 2024
- NeurIPS 2024
Predicting LLM Inference Latency: A Roofline-Driven ML Method
- - Saki Imai
  - Rina Nakazawa
  - et al.
- 2024
- NeurIPS 2024
Unified Lookup Tables: Privacy-Preserving Foundation Models
- - Nikita Janakarajan
  - Irina Espejo Morales
  - et al.
- 2024
- NeurIPS 2024