Jeremy Wohlwend

According to our database1, Jeremy Wohlwend authored at least 9 papers between 2017 and 2023.

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Bibliography

2023
Annotating metabolite mass spectra with domain-inspired chemical formula transformers.
Nat. Mac. Intell., September, 2023

2022
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Structured Pruning of Large Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Autoregressive Knowledge Distillation through Imitation Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Building a Production Model for Retrieval-Based Chatbots.
CoRR, 2019

Flambé: A Customizable Framework for Machine Learning Experiments.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Metric Learning for Dynamic Text Classification.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2017
Feasibility of 3D Reconstruction of Neural Morphology Using Expansion Microscopy and Barcode-Guided Agglomeration.
Frontiers Comput. Neurosci., 2017


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