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ORCIDJeremy Wohlwend
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2020 – today
- 2023
[j2]Samuel Goldman
, Jeremy Wohlwend, Martin Strazar, Guy Haroush, Ramnik J. Xavier, Connor W. Coley:
Annotating metabolite mass spectra with domain-inspired chemical formula transformers. Nat. Mac. Intell. 5(9): 965-979 (2023)- 2022
- [c6]Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola:
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design. ICLR 2022 - 2021
- [i6]Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola:
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design. CoRR abs/2110.04624 (2021) - 2020
- [c5]Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei:
Autoregressive Knowledge Distillation through Imitation Learning. EMNLP (1) 2020: 6121-6133 - [c4]Ziheng Wang, Jeremy Wohlwend, Tao Lei:
Structured Pruning of Large Language Models. EMNLP (1) 2020: 6151-6162 - [c3]Jing Pan, Joshua Shapiro, Jeremy Wohlwend, Kyu Jeong Han, Tao Lei, Tao Ma:
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition. INTERSPEECH 2020: 16-20 - [i5]Jing Pan, Joshua Shapiro, Jeremy Wohlwend, Kyu Jeong Han, Tao Lei, Tao Ma:
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition. CoRR abs/2005.10469 (2020) - [i4]Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei:
Autoregressive Knowledge Distillation through Imitation Learning. CoRR abs/2009.07253 (2020)
2010 – 2019
- 2019
- [c2]Jeremy Wohlwend, Nicholas Matthews, Ivan Itzcovich:
Flambé: A Customizable Framework for Machine Learning Experiments. ACL (3) 2019: 181-188 - [c1]Jeremy Wohlwend, Ethan R. Elenberg, Sam Altschul, Shawn Henry, Tao Lei:
Metric Learning for Dynamic Text Classification. DeepLo@EMNLP-IJCNLP 2019: 143-152 - [i3]Kyle Swanson, Lili Yu, Christopher Fox, Jeremy Wohlwend, Tao Lei:
Building a Production Model for Retrieval-Based Chatbots. CoRR abs/1906.03209 (2019) - [i2]Ziheng Wang, Jeremy Wohlwend, Tao Lei:
Structured Pruning of Large Language Models. CoRR abs/1910.04732 (2019) - [i1]Jeremy Wohlwend, Ethan R. Elenberg, Samuel Altschul, Shawn Henry, Tao Lei:
Metric Learning for Dynamic Text Classification. CoRR abs/1911.01026 (2019) - 2017
- [j1]Young-Gyu Yoon, Peilun Dai, Jeremy Wohlwend, Jae-Byum Chang, Adam H. Marblestone, Edward S. Boyden III:
Feasibility of 3D Reconstruction of Neural Morphology Using Expansion Microscopy and Barcode-Guided Agglomeration. Frontiers Comput. Neurosci. 11: 97 (2017)
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