Body
Doctoral Student Research in AI & Machine Learning
Machine learning is the sub-field of AI concerned with learning models from data. Once learned, these models can be use to label future data, make predictions about the future, aid in decision making, or explain the past. At Rice, we cover multiple sub-fields of machine learning, including deep learning.
Faculty
Faculty members leading research in AI & ML are as follows:
- Alireza Fallah
- Chris Jermaine
- Tasos Kyrillidis
- Anshumali Shrivastava
- Arlei Silva
- Devika Subramanian
- Moshe Vardi
The work below represents current student research.
Body
|
ADAPT: Lightweight, Long-Range Machine Learning Force FieldsWithout GraphsStudent: Evan Dramko
|
|
|
RACE Attention: A Strictly Linear-Time Attention Mechanism for Long-Sequence TrainingPresenter: Sahil Joshi |
|
|
GHOST: Unmasking Phantom States in Mamba2via Grouped Hidden-state Output-aware Selection & TruncationPresenter: Michael Menezes |

