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Kyle Swanson
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2020 – today
- 2024
- [j5]Kyle Swanson, Parker Walther, Jeremy Leitz, Souhrid Mukherjee, Joseph C. Wu, Rabindra V. Shivnaraine, James Zou:
ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries. Bioinform. 40(7) (2024) - [j4]Kyle Swanson, Gary Liu, Denise B. Catacutan, Autumn Arnold, James Zou, Jonathan M. Stokes:
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics. Nat. Mac. Intell. 6(3): 338-353 (2024) - 2023
- [d1]Yanay Rosen, Yusuf Roohani, Maria Brbic, Kyle Swanson, Ziang Li, Jure Leskovec:
Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN. Zenodo, 2023 - [i8]John Ho, Zhao-Heng Yin, Colin Zhang, Henry Overhauser, Kyle Swanson, Yang Ha:
Predicting Drug Solubility Using Different Machine Learning Methods - Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network. CoRR abs/2308.12325 (2023) - 2022
- [c5]Kyle Swanson, Joy Hsu, Mirac Suzgun:
Monte Carlo Tree Search for Interpreting Stress in Natural Language. LT-EDI 2022: 107-119 - [c4]Kyle Swanson, Howard Chang, James Zou:
Predicting Immune Escape with Pretrained Protein Language Model Embeddings. MLCB 2022: 110-130 - [i7]Kyle Swanson, Joy Hsu, Mirac Suzgun:
Monte Carlo Tree Search for Interpreting Stress in Natural Language. CoRR abs/2204.08105 (2022) - 2021
- [c3]Angeliki V. Katsenou, Fan Zhang, Kyle Swanson, Mariana Afonso, Joel Sole, David R. Bull:
VMAF-based Bitrate Ladder Estimation for Adaptive Streaming. PCS 2021: 1-5 - 2020
- [j3]Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley:
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. J. Chem. Inf. Model. 60(8): 3770-3780 (2020) - [c2]Kyle Swanson, Lili Yu, Tao Lei:
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport. ACL 2020: 5609-5626 - [c1]Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola:
Improving Molecular Design by Stochastic Iterative Target Augmentation. ICML 2020: 10716-10726 - [i6]Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola:
Improving Molecular Design by Stochastic Iterative Target Augmentation. CoRR abs/2002.04720 (2020) - [i5]Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley:
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. CoRR abs/2005.10036 (2020) - [i4]Kyle Swanson, Lili Yu, Tao Lei:
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport. CoRR abs/2005.13111 (2020)
2010 – 2019
- 2019
- [j2]Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Analyzing Learned Molecular Representations for Property Prediction. J. Chem. Inf. Model. 59(8): 3370-3388 (2019) - [j1]Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Correction to Analyzing Learned Molecular Representations for Property Prediction. J. Chem. Inf. Model. 59(12): 5304-5305 (2019) - [i3]Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Are Learned Molecular Representations Ready For Prime Time? CoRR abs/1904.01561 (2019) - [i2]Kyle Swanson, Lili Yu, Christopher Fox, Jeremy Wohlwend, Tao Lei:
Building a Production Model for Retrieval-Based Chatbots. CoRR abs/1906.03209 (2019) - [i1]Kirk Swanson, Shubhendu Trivedi, Joshua Lequieu, Kyle Swanson, Risi Kondor:
Deep Learning for Automated Classification and Characterization of Amorphous Materials. CoRR abs/1909.04648 (2019)
Coauthor Index
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last updated on 2024-08-14 23:13 CEST by the dblp team
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