Can a Fruit Fly Learn Word Embeddings?
- Yuchen Liang
- Chaitanya K. Ryali
- et al.
- 2021
- ICLR 2021
Benjamin Hoover
Title
Research Engineer
Bio
I am a Research Engineer working to breath efficiency and interpretability into foundation models using the lens of Associative Memories and Hopfield Networks.
Publications
Transformer-based neural networks capture organic chemistry grammar from unsupervised learning of chemical reactions
- Philippe Schwaller
- Benjamin Hoover
- et al.
- 2021
- ACS Spring 2021
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Shared Interest: Human Annotations vs. AI Saliency
- Angie Boggust
- Benjamin Hoover
- et al.
- 2020
- NeurIPS 2020
Reaction Transformers for Fingerprints, Classification and Atom-Mapping
- Philippe Schwaller
- Daniel Probst
- et al.
- 2020
- ACS Fall 2020
ExBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models
- 2020
- ACL 2020
Blog posts
IBM’s Dmitry Krotov wants to crack the ‘physics’ of memory
ResearchKim MartineauHow to visualize modern AI research
ResearchKim MartineauBreaking down the AI transformer
ExplainerKim MartineauIBM RXN for Chemistry: Unveiling the grammar of the organic chemistry language
ResearchPhilippe Schwaller, Hendrik Strobelt, Teodoro Laino, and Benjamin Hoover7 minute read
Top collaborators
HS
Hendrik Strobelt
Senior Research Scientist
DK
Dmitry Krotov
Research Staff Member
PR
Parikshit Ram
Research Staff Member