Jeremy Wohlwend

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Annotating metabolite mass spectra with domain-inspired chemical formula transformers.

Samuel Goldman, Jeremy Wohlwend, Martin Strazar, Guy Haroush, Ramnik J. Xavier, Connor W. Coley

Nat. Mac. Intell., September, 2023

2022

Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design.

Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition.

Jing Pan, Joshua Shapiro, Jeremy Wohlwend, Kyu Jeong Han, Tao Lei, Tao Ma

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Structured Pruning of Large Language Models.

Ziheng Wang, Jeremy Wohlwend, Tao Lei

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Autoregressive Knowledge Distillation through Imitation Learning.

Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Building a Production Model for Retrieval-Based Chatbots.

Kyle Swanson, Lili Yu, Christopher Fox, Jeremy Wohlwend, Tao Lei

CoRR, 2019

Flambé: A Customizable Framework for Machine Learning Experiments.

Jeremy Wohlwend, Nicholas Matthews, Ivan Itzcovich

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Metric Learning for Dynamic Text Classification.

Jeremy Wohlwend, Ethan R. Elenberg, Sam Altschul, Shawn Henry, Tao Lei

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.

Young-Gyu Yoon, Peilun Dai, Jeremy Wohlwend, Jae-Byum Chang, Adam H. Marblestone, Edward S. Boyden III

Frontiers Comput. Neurosci., 2017