Publications

1593 results for Machine Learning

Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World Scenarios
- - Paulo Rodrigo Cavalin
  - Claudio Santos Pinhanez
- 2024
- LREC-COLING 2024
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
- - Elena Ferro
  - A. Vasilopoulos
  - et al.
- 2024
- ISCAS 2024
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training
- - Corey Liam Lammie
  - A. Vasilopoulos
  - et al.
- 2024
- ISCAS 2024
How to Model the Training and Inference of Analog-Based In-Memory Computing (AIMC) Systems
- - Corey Liam Lammie
  - Manuel Le Gallo
  - et al.
- 2024
- ISCAS 2024
AI-Powered Process Optimization for EUV MOR: Equipment Trace Data Feature Extraction and Machine Learning is Essential for CD Control
- - Mario Faria
  - Francis Ortega
  - et al.
- 2024
- ASMC 2024
Bridging the Gap: Leveraging Data Science to Equip Domain Experts with the Tools to Address Challenges in Maternal, Newborn, and Child Health
- - Girmaw Abebe Tadesse
  - William Ogallo
  - et al.
- 2024
- npj Women's Health
Forecasting vaping health risks through neural network model prediction of flavour pyrolysis reactions
- - Akihiro Kishimoto
  - Dan Wu
  - et al.
- 2024
- Scientific Reports
Simulating CO₂ diffusivity in rigid and flexible Mg-MOF-74 with machine-learning force fields
- - Bowen Zheng
  - Grace Gu
  - et al.
- 2024
- APL Mach. Learn.
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- - Ido Amos
  - Jonathan Berant
  - et al.
- 2024
- ICLR 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
- - Chen Chen
  - Ruizhe Li
  - et al.
- 2024
- ICLR 2024