Kyle Swanson

23 papers A* 3A 1C 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generating readily synthesizable small molecule fluorophore scaffolds with reinforcement learning.
CoRR
Ruhi Sayana, Kate Callon, Jennifer Xu, Jonathan Deutsch, Steven Chu, James Zou, John Janetzko, Rabindra V. Shivnaraine, Kyle Swanson
2026 A conf
NILO: Nested Iterative Optimization for Video Bitrate Ladder Construction.
MMSys
Sagar Bharadwaj Kalasibail Seetharam, Renata Teixeira, Xiaoqing Zhu, Kyle Swanson, Srinivasan Seshan
2026 J jnl
The Shallow Structure Hypothesis and Sentence Processing in a Second Language.
Lang. Linguistics Compass
Kyle Swanson, A. Kate Miller
2025 J jnl
The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies.
Nat.
Kyle Swanson, Wesley Wu, Nash L. Bulaong, John E. Pak, James Zou
2024 J jnl
ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries.
Bioinform.
Kyle Swanson, Parker Walther, Jeremy Leitz, Souhrid Mukherjee, Joseph C. Wu, Rabindra V. Shivnaraine, James Zou
2024 J jnl
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics.
Nat. Mac. Intell.
Kyle Swanson, Gary Liu, Denise B. Catacutan, Autumn Arnold, James Zou, Jonathan M. Stokes
2024 A* conf
UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels.
NeurIPS
Jacob Silberg, Kyle Swanson, Elana Simon, Angela Zhang, Zaniar Ghazizadeh, Scott Ogden, Hisham Hamadeh, James Y. Zou
2023 J jnl
Predicting Drug Solubility Using Different Machine Learning Methods - Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network.
CoRR
John Ho, Zhao-Heng Yin, Colin Zhang, Henry Overhauser, Kyle Swanson, Yang Ha
2022 — conf
Monte Carlo Tree Search for Interpreting Stress in Natural Language.
LT-EDI
Kyle Swanson, Joy Hsu, Mirac Suzgun
2022 J jnl
Monte Carlo Tree Search for Interpreting Stress in Natural Language.
CoRR
Kyle Swanson, Joy Hsu, Mirac Suzgun
2022 — conf
Predicting Immune Escape with Pretrained Protein Language Model Embeddings.
MLCB
Kyle Swanson, Howard Chang, James Zou
2021 C conf
VMAF-based Bitrate Ladder Estimation for Adaptive Streaming.
PCS
Angeliki V. Katsenou, Fan Zhang, Kyle Swanson, Mariana Afonso, Joel Sole, David R. Bull
2020 A* conf
Improving Molecular Design by Stochastic Iterative Target Augmentation.
ICML
Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Improving Molecular Design by Stochastic Iterative Target Augmentation.
CoRR
Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola
2020 A* conf
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport.
ACL
Kyle Swanson, Lili Yu, Tao Lei
2020 J jnl
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport.
CoRR
Kyle Swanson, Lili Yu, Tao Lei
2020 J jnl
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction.
CoRR
Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley
2020 J jnl
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction.
J. Chem. Inf. Model.
Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley
2019 J jnl
Analyzing Learned Molecular Representations for Property Prediction.
J. Chem. Inf. Model.
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
2019 J jnl
Are Learned Molecular Representations Ready For Prime Time?
CoRR
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
2019 J jnl
Building a Production Model for Retrieval-Based Chatbots.
CoRR
Kyle Swanson, Lili Yu, Christopher Fox, Jeremy Wohlwend, Tao Lei
2019 J jnl
Correction to Analyzing Learned Molecular Representations for Property Prediction.
J. Chem. Inf. Model.
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
2019 J jnl
Deep Learning for Automated Classification and Characterization of Amorphous Materials.
CoRR
Kirk Swanson, Shubhendu Trivedi, Joshua Lequieu, Kyle Swanson, Risi Kondor