Scott Howland
According to our database1,
Scott Howland
authored at least 8 papers
between 2018 and 2024.
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry.
CoRR, 2024
2023
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.
CoRR, 2023
2022
Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding.
CoRR, 2022
Proceedings of the Topological, 2022
2021
CoRR, 2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations.
CoRR, 2021
2018