Rose Yu

180 papers A* 46A 5Journal 112Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Weight Space Learning: Understanding, Representation, and Generation.
CoRR
Xiaolong Han, Zehong Wang, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri
2026 J jnl
Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning.
CoRR
Jared Levy, Aarti Lalwani, Elijah Wyckoff, Kenneth J. Loh, Sara P. Gombatto, Rose Yu, Emilia Farcas
2026 J jnl
Breaking the Factorization Barrier in Diffusion Language Models.
CoRR
Ian Li, Zilei Shao, Benjie Wang, Rose Yu, Guy Van den Broeck, Anji Liu
2026 J jnl
Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success.
CoRR
Luca Zhou, Bo Zhao, Rose Yu, Emanuele Rodolà
2026 J jnl
Discovering Symbolic Differential Equations with Symmetry Invariants.
Trans. Mach. Learn. Res.
Jianke Yang, Manu Bhat, Bryan Hu, Yadi Cao, Nima Dehmamy, Robin Walters, Rose Yu
2026 J jnl
Divide and Learn: Multi-Objective Combinatorial Optimization at Scale.
CoRR
Esha Singh, Dongxia Wu, Chien-Yi Yang, Tajana Rosing, Rose Yu, Yi-An Ma
2026 J jnl
Physics-Guided Deep Learning for Dynamical Systems: A Survey.
ACM Comput. Surv.
Rui Wang, Rose Yu
2026 J jnl
Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation.
CoRR
Cai Zhou, Zijie Chen, Zian Li, Jike Wang, Kaiyi Jiang, Pan Li, Rose Yu, Muhan Zhang, Stephen Bates, Tommi S. Jaakkola
2026 J jnl
SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs.
CoRR
Yadi Cao, Sicheng Lai, Jiahe Huang, Yang Zhang, Zach Lawrence, Rohan Bhakta, Izzy F. Thomas, Mingyun Cao, Chung-Hao Tsai, Zihao Zhou, Yidong Zhao, Hao Liu, Alessandro Marinoni, Alexey Arefiev, Rose Yu
2026 J jnl
Symmetry in Neural Network Parameter Spaces.
Trans. Mach. Learn. Res.
Bo Zhao, Robin Walters, Rose Yu
2026 J jnl
Think like a Scientist: Physics-guided LLM Agent for Equation Discovery.
CoRR
Jianke Yang, Ohm Venkatachalam, Mohammad Kianezhad, Sharvaree Vadgama, Rose Yu
2026 J jnl
Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces.
CoRR
Pratham Yashwante, Rose Yu
2026 J jnl
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction.
Trans. Mach. Learn. Res.
Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley J. Osher
2025 A* conf
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation.
ICML
Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu
2025 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
Found. Trends Mach. Learn.
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2025 A* conf
AtlasD: Automatic Local Symmetry Discovery.
ICML
Manu Bhat, JongHyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2025 J jnl
AtlasD: Automatic Local Symmetry Discovery.
CoRR
Manu Bhat, JongHyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2025 — conf
BIGE : Biomechanics-informed GenAI for Exercise Science.
L4DC
Shubh Maheshwari, Anwesh Mohanty, Yadi Cao, Swithin Razu, Andrew McCulloch, Rose Yu
2025 J jnl
CaTS-Bench: Can Language Models Describe Numeric Time Series?
CoRR
Luca Zhou, Pratham Yashwante, Marshall Fisher, Alessio Sampieri, Zihao Zhou, Fabio Galasso, Rose Yu
2025 J jnl
Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025.
CoRR
Nitya Thakkar, Mert Yüksekgönül, Jake Silberg, Animesh Garg, Nanyun Peng, Fei Sha, Rose Yu, Carl Vondrick, James Zou
2025 A* conf
Can LLMs Understand Time Series Anomalies?
ICLR
Zihao Zhou, Rose Yu
2025 J jnl
ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation.
J. Mach. Learn. Res.
Sungduk Yu, Zeyuan Hu, Akshay Subramaniam, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius J. M. Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Helge Heuer, Benjamin R. Hillman, Andrea M. Jenney, Nana Liu, Alistair White, Tian Zheng, Zhiming Kuang, Fiaz Ahmed, Elizabeth A. Barnes, Noah D. Brenowitz, Christopher S. Bretherton, Veronika Eyring, Savannah L. Ferretti, Nicholas J. Lutsko, Pierre Gentine, Stephan Mandt, J. David Neelin, Rose Yu, Laure Zanna, Nathan M. Urban, Janni Yuval, Ryan Abernathey, Pierre Baldi, Wayne Chuang, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Po-Lun Ma, Sara Shamekh, Guang Zhang, Michael S. Pritchard
2025 A* conf
ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models.
ICLR
Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick
2025 J jnl
Conformal Prediction for Time-series Forecasting with Change Points.
CoRR
Sophia Sun, Rose Yu
2025 A* conf
Discovering Latent Causal Graphs from Spatiotemporal Data.
ICML
Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu
2025 J jnl
Discovering Symbolic Differential Equations with Symmetry Invariants.
CoRR
Jianke Yang, Manu Bhat, Bryan Hu, Yadi Cao, Nima Dehmamy, Robin Walters, Rose Yu
2025 J jnl
Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting.
CoRR
Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah D. Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu
2025 J jnl
Emergence of Hierarchical Emotion Organization in Large Language Models.
CoRR
Bo Zhao, Maya Okawa, Eric J. Bigelow, Rose Yu, Tomer D. Ullman, Ekdeep Singh Lubana, Hidenori Tanaka
2025 J jnl
Guardian-regularized Safe Offline Reinforcement Learning for Smart Weaning of Mechanical Circulatory Devices.
CoRR
Aysin Tumay, Sophia Huiwen Sun, Sonia Fereidooni, Aaron Dumas, Elise Jortberg, Rose Yu
2025 J jnl
Hilbert: Recursively Building Formal Proofs with Informal Reasoning.
CoRR
Sumanth Varambally, Thomas Voice, Yanchao Sun, Zhifeng Chen, Rose Yu, Ke Ye
2025 J jnl
Improving Learning to Optimize Using Parameter Symmetries.
CoRR
Guy Zamir, Aryan Dokania, Bo Zhao, Rose Yu
2025 A* conf
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning.
ICML
Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K. Gilson, Rose Yu
2025 J jnl
SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA.
CoRR
Haozhou Xu, Dongxia Wu, Matteo Chinazzi, Ruijia Niu, Rose Yu, Yi-An Ma
2025 J jnl
Symmetry in Neural Network Parameter Spaces.
CoRR
Bo Zhao, Robin Walters, Rose Yu
2025 J jnl
TGLF-SINN: Deep Learning Surrogate Model for Accelerating Turbulent Transport Modeling in Fusion.
CoRR
Yadi Cao, Futian Zhang, Wesley Liu, Tom Neiser, Orso Meneghini, Lawson Fuller, Sterling Paul Smith, Raffi Nazikian, Brian Sammuli, Rose Yu
2025 A* conf
Understanding Mode Connectivity via Parameter Space Symmetry.
ICML
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2025 J jnl
Understanding Mode Connectivity via Parameter Space Symmetry.
CoRR
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2025 J jnl
Zephyrus: An Agentic Framework for Weather Science.
CoRR
Sumanth Varambally, Marshall Fisher, Jas Thakker, Yiwei Chen, Zhirui Xia, Yasaman Jafari, Ruijia Niu, Manas Jain, Veeramakali Vignesh Manivannan, Zachary Novack, Luyu Han, Srikar Eranky, Salva Rühling Cachay, Taylor Berg-Kirkpatrick, Duncan Watson-Parris, Yi-An Ma, Rose Yu
2024 J jnl
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation.
CoRR
Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu
2024 — conf
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework.
GeoAnomalies@SIGSPATIAL
Minxuan Duan, Yinlong Qian, Lingyi Zhao, Zihao Zhou, Zeeshan Rasheed, Rose Yu, Khurram Shafique
2024 J jnl
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework.
CoRR
Minxuan Duan, Yinlong Qian, Lingyi Zhao, Zihao Zhou, Zeeshan Rasheed, Rose Yu, Khurram Shafique
2024 J jnl
Can LLMs Understand Time Series Anomalies?
CoRR
Zihao Zhou, Rose Yu
2024 J jnl
ClimaQA: An Automated Evaluation Framework for Climate Foundation Models.
CoRR
Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick
2024 A* conf
Copula Conformal prediction for multi-step time series prediction.
ICLR
Sophia Huiwen Sun, Rose Yu
2024 J jnl
Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Process.
CoRR
Sophia Huiwen Sun, Wenyuan Chen, Zihao Zhou, Sonia Fereidooni, Elise Jortberg, Rose Yu
2024 — conf
Data-driven simulator for mechanical circulatory support with domain adversarial neural process.
L4DC
Sophia Huiwen Sun, Wenyuan Chen, Zihao Zhou, Sonia Fereidooni, Elise Jortberg, Rose Yu
2024 J jnl
Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization.
CoRR
Dongxia Wu, Nikki Lijing Kuang, Ruijia Niu, Yi-An Ma, Rose Yu
2024 J jnl
Discovering Latent Structural Causal Models from Spatio-Temporal Data.
CoRR
Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yi-An Ma, Rose Yu
2024 A* conf
Discovering Mixtures of Structural Causal Models from Time Series Data.
ICML
Sumanth Varambally, Yian Ma, Rose Yu
2024 — conf
Faster Optimization on Sparse Graphs via Neural Reparametrization.
LoG
Csaba Both, Nima Dehmamy, Jianzhi Long, Rose Yu
2024 J jnl
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs.
CoRR
Ruijia Niu, Dongxia Wu, Rose Yu, Yi-An Ma
2024 A* conf
Improving Convergence and Generalization Using Parameter Symmetries.
ICLR
Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu
2024 A* conf
Latent Space Symmetry Discovery.
ICML
Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2024 A conf
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes.
AISTATS
Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu
2024 J jnl
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes.
CoRR
Dongxia Wu, Tsuyoshi Idé, Aurélie C. Lozano, Georgios Kollias, Jirí Navrátil, Naoki Abe, Yi-An Ma, Rose Yu
2024 J jnl
Ligand-Based Compound Activity Prediction via Few-Shot Learning.
J. Chem. Inf. Model.
Peter Eckmann, Jake Anderson, Rose Yu, Michael K. Gilson
2024 J jnl
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning.
CoRR
Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K. Gilson, Rose Yu
2024 J jnl
MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling.
CoRR
Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K. Gilson, Rose Yu
2024 — conf
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization.
EMNLP (Findings)
Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick
2024 J jnl
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization.
CoRR
Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick
2024 A* conf
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling.
ICML
Ruijia Niu, Dongxia Wu, Kai Kim, Yian Ma, Duncan Watson-Parris, Rose Yu
2024 J jnl
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling.
CoRR
Ruijia Niu, Dongxia Wu, Kai Kim, Yi-An Ma, Duncan Watson-Parris, Rose Yu
2024 J jnl
Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data.
CoRR
Kai Kim, Howard Tsai, Rajat Sen, Abhimanyu Das, Zihao Zhou, Abhishek Tanpure, Mathew Luo, Rose Yu
2024 A conf
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers.
AISTATS
Cai Zhou, Rose Yu, Yusu Wang
2024 J jnl
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers.
CoRR
Cai Zhou, Rose Yu, Yusu Wang
2024 J jnl
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion.
CoRR
Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu
2024 A* conf
Probablistic Emulation of a Global Climate Model with Spherical DYffusion.
NeurIPS
Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu
2024 A* conf
Symmetry-Informed Governing Equation Discovery.
NeurIPS
Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu
2024 J jnl
Symmetry-Informed Governing Equation Discovery.
CoRR
Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu
2024 J jnl
Technical report: Improving the properties of molecules generated by LIMO.
CoRR
Vineet Thumuluri, Peter Eckmann, Michael K. Gilson, Rose Yu
2024 J jnl
Understanding the Difficulty of Solving Cauchy Problems with PINNs.
CoRR
Tao Wang, Bo Zhao, Sicun Gao, Rose Yu
2024 — conf
Understanding the difficulty of solving Cauchy problems with PINNs.
L4DC
Tao Wang, Bo Zhao, Sicun Gao, Rose Yu
2024 J jnl
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction.
CoRR
Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley J. Osher
2023 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2023 — conf
Automatic Integration for Fast and Interpretable Neural Point Processes.
L4DC
Zihao Zhou, Rose Yu
2023 A* conf
Automatic Integration for Spatiotemporal Neural Point Processes.
NeurIPS
Zihao Zhou, Rose Yu
2023 J jnl
Automatic Integration for Spatiotemporal Neural Point Processes.
CoRR
Zihao Zhou, Rose Yu
2023 A* conf
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation.
NeurIPS
Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard
2023 J jnl
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
CoRR
Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.
2023 A* conf
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting.
NeurIPS
Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu
2023 J jnl
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting.
CoRR
Salva Rühling Cachay, Bo Zhao, Hailey James, Rose Yu
2023 A* conf
Deep Bayesian Active Learning for Accelerating Stochastic Simulation.
KDD
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu
2023 J jnl
Discovering Mixtures of Structural Causal Models from Time Series Data.
CoRR
Sumanth Varambally, Yi-An Ma, Rose Yu
2023 A* conf
Disentangled Multi-Fidelity Deep Bayesian Active Learning.
ICML
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yi-An Ma, Rose Yu
2023 J jnl
Disentangled Multi-Fidelity Deep Bayesian Active Learning.
CoRR
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yi-An Ma, Rose Yu
2023 J jnl
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.
Nat. Mac. Intell.
Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2023 A* conf
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.
KDD
Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu
2023 A* conf
Generative Adversarial Symmetry Discovery.
ICML
Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu
2023 J jnl
Generative Adversarial Symmetry Discovery.
CoRR
Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu
2023 J jnl
Improving Convergence and Generalization Using Parameter Symmetries.
CoRR
Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu
2023 — conf
Incident congestion propagation prediction using incident reports.
SuMob@SIGSPATIAL
Mathias Niemann Tygesen, Mayank Sharan, Francisco C. Pereira, Filipe Rodrigues, Rose Yu
2023 A* conf
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts.
ICLR
Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
2023 J jnl
Latent Space Symmetry Discovery.
CoRR
Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2023 J jnl
Long-term Forecasting with TiDE: Time-series Dense Encoder.
CoRR
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu
2023 J jnl
Long-term Forecasting with TiDE: Time-series Dense Encoder.
Trans. Mach. Learn. Res.
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu
2023 A* conf
On the Connection Between MPNN and Graph Transformer.
ICML
Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang
2023 J jnl
On the Connection Between MPNN and Graph Transformer.
CoRR
Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang
2023 — conf
Probabilistic Symmetry for Multi-Agent Dynamics.
L4DC
Sophia Huiwen Sun, Robin Walters, Jinxi Li, Rose Yu
2023 A* conf
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow.
ICLR
Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
2023 J jnl
Target-Free Compound Activity Prediction via Few-Shot Learning.
CoRR
Peter Eckmann, Jake Anderson, Michael K. Gilson, Rose Yu
2023 J jnl
Understanding why shooters shoot - An AI-powered engine for basketball performance profiling.
CoRR
Alejandro Rodriguez Pascual, Ishan Mehta, Muhammad Khan, Frank Rodriz, Rose Yu
2022 A* conf
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics.
ICML
Rui Wang, Robin Walters, Rose Yu
2022 J jnl
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics.
CoRR
Rui Wang, Robin Walters, Rose Yu
2022 J jnl
Copula Conformal Prediction for Multi-step Time Series Forecasting.
CoRR
Sophia Huiwen Sun, Rose Yu
2022 J jnl
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting.
CoRR
Rui Wang, Robin Walters, Rose Yu
2022 — conf
DeepViFi: detecting oncoviral infections in cancer genomes using transformers.
BCB
Utkrisht Rajkumar, Sara Javadzadeh, Mihir Bafna, Dongxia Wu, Rose Yu, Jingbo Shang, Vineet Bafna
2022 J jnl
Faster Optimization on Sparse Graphs via Neural Reparametrization.
CoRR
Nima Dehmamy, Csaba Both, Jianzhi Long, Rose Yu
2022 — conf
Forecasting Aortic Pressure Cross-Cohort with Deep Sequence Models.
CinC
Alan Li, Zihao Zhou, Elise Jortberg, Rose Yu
2022 A* conf
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice.
KDD
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu
2022 J jnl
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts.
CoRR
Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
2022 A* conf
LIMO: Latent Inceptionism for Targeted Molecule Generation.
ICML
Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng, Michael K. Gilson, Rose Yu
2022 J jnl
LIMO: Latent Inceptionism for Targeted Molecule Generation.
CoRR
Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng, Michael K. Gilson, Rose Yu
2022 A* conf
Meta-Learning Dynamics Forecasting Using Task Inference.
NeurIPS
Rui Wang, Robin Walters, Rose Yu
2022 A* conf
Multi-fidelity Hierarchical Neural Processes.
KDD
Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu
2022 J jnl
Multi-fidelity Hierarchical Neural Processes.
CoRR
Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu
2022 — conf
Neural Point Process for Learning Spatiotemporal Event Dynamics.
L4DC
Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu
2022 J jnl
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.
CoRR
Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2022 J jnl
Probabilistic Symmetry for Improved Trajectory Forecasting.
CoRR
Sophia Huiwen Sun, Robin Walters, Jinxi Li, Rose Yu
2022 J jnl
SELFIES and the future of molecular string representations.
CoRR
Mario Krenn, Qianxiang Ai, Senja Barthel, Nessa Carson, Angelo Frei, Nathan C. Frey, Pascal Friederich, Théophile Gaudin, Alberto Alexander Gayle, Kevin Maik Jablonka, Rafael F. Lameiro, Dominik Lemm, Alston Lo, Seyed Mohamad Moosavi, José Manuel Nápoles-Duarte, AkshatKumar Nigam, Robert Pollice, Kohulan Rajan, Ulrich Schatzschneider, Philippe Schwaller, Marta Skreta, Berend Smit, Felix Strieth-Kalthoff, Chong Sun, Gary Tom, Guido Falk von Rudorff, Andrew Wang, Andrew D. White, Adamo Young, Rose Yu, Alán Aspuru-Guzik
2022 J jnl
SELFIES and the future of molecular string representations.
Patterns
Mario Krenn, Qianxiang Ai, Senja Barthel, Nessa Carson, Angelo Frei, Nathan C. Frey, Pascal Friederich, Théophile Gaudin, Alberto Alexander Gayle, Kevin Maik Jablonka, Rafael F. Lameiro, Dominik Lemm, Alston Lo, Seyed Mohamad Moosavi, José Manuel Nápoles-Duarte, AkshatKumar Nigam, Robert Pollice, Kohulan Rajan, Ulrich Schatzschneider, Philippe Schwaller, Marta Skreta, Berend Smit, Felix Strieth-Kalthoff, Chong Sun, Gary Tom, Guido Falk von Rudorff, Andrew Wang, Andrew D. White, Adamo Young, Rose Yu, Alán Aspuru-Guzik
2022 J jnl
Symmetries, flat minima, and the conserved quantities of gradient flow.
CoRR
Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
2022 A* conf
Symmetry Teleportation for Accelerated Optimization.
NeurIPS
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2022 J jnl
Symmetry Teleportation for Accelerated Optimization.
CoRR
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2022 J jnl
Taming the Long Tail of Deep Probabilistic Forecasting.
CoRR
Jedrzej Kozerawski, Mayank Sharan, Rose Yu
2021 J jnl
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands.
CoRR
Ayan Chatterjee, Omair Shafi Ahmed, Robin Walters, Zohair Shafi, Deisy Morselli Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti
2021 J jnl
Accelerating Stochastic Simulation with Interactive Neural Processes.
CoRR
Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu
2021 A* conf
Automatic Symmetry Discovery with Lie Algebra Convolutional Network.
NeurIPS
Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu
2021 J jnl
Automatic Symmetry Discovery with Lie Algebra Convolutional Network.
CoRR
Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu
2021 — conf
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems.
L4DC
Rui Wang, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu
2021 J jnl
DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting.
CoRR
Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu
2021 J jnl
Generator Surgery for Compressed Sensing.
CoRR
Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand
2021 A* conf
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization.
ICLR
Rui Wang, Robin Walters, Rose Yu
2021 J jnl
Meta-Learning Dynamics Forecasting Using Task Inference.
CoRR
Rui Wang, Robin Walters, Rose Yu
2021 J jnl
Neural Point Process for Learning Spatiotemporal Event Dynamics.
CoRR
Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu
2021 A* conf
Physics-Guided AI for Large-Scale Spatiotemporal Data.
KDD
Rose Yu, Paris Perdikaris, Anuj Karpatne
2021 A* conf
Quantifying Uncertainty in Deep Spatiotemporal Forecasting.
KDD
Dongxia Wu, Liyao Gao, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, Yi-An Ma, Rose Yu
2021 J jnl
Quantifying Uncertainty in Deep Spatiotemporal Forecasting.
CoRR
Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu
2021 A* conf
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021).
KDD
Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash
2021 — conf
Traffic Forecasting using Vehicle-to-Vehicle Communication.
L4DC
Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu
2021 J jnl
Traffic Forecasting using Vehicle-to-Vehicle Communication.
CoRR
Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu
2021 A* conf
Trajectory Prediction using Equivariant Continuous Convolution.
ICLR
Robin Walters, Jinxi Li, Rose Yu
2020 — conf
Aortic Pressure Forecasting With Deep Learning.
CinC
Eliza Huang, Rui Wang, Uma Chandrasekaran, Rose Yu
2020 J jnl
Aortic Pressure Forecasting with Deep Sequence Learning.
CoRR
Rui Wang, Eliza Huang, Uma Chandrasekaran, Rose Yu
2020 J jnl
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems.
CoRR
Rui Wang, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu
2020 A* conf
Deep Imitation Learning for Bimanual Robotic Manipulation.
NeurIPS
Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L. S. Wong, Rose Yu
2020 J jnl
Deep Imitation Learning for Bimanual Robotic Manipulation.
CoRR
Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L. S. Wong, Rose Yu
2020 J jnl
Dynamic Relational Inference in Multi-Agent Trajectories.
CoRR
Ruichao Xiao, Rose Yu
2020 J jnl
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks.
CoRR
Chintan Shah, Nima Dehmamy, Nicola Perra, Matteo Chinazzi, Albert-László Barabási, Alessandro Vespignani, Rose Yu
2020 J jnl
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization.
CoRR
Rui Wang, Robin Walters, Rose Yu
2020 J jnl
Learning Disentangled Representations of Video with Missing Data.
CoRR
Armand Comas Massague, Chi Zhang, Zlatan Feric, Octavia I. Camps, Rose Yu
2020 A* conf
Learning Disentangled Representations of Videos with Missing Data.
NeurIPS
Armand Comas Massague, Chi Zhang, Zlatan Feric, Octavia I. Camps, Rose Yu
2020 A* conf
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis.
ICML
Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu
2020 J jnl
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis.
CoRR
Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu
2020 A* conf
Towards Physics-informed Deep Learning for Turbulent Flow Prediction.
KDD
Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
2020 J jnl
Trajectory Prediction using Equivariant Continuous Convolution.
CoRR
Robin Walters, Jinxi Li, Rose Yu
2019 A* conf
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation.
NeurIPS
Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue
2019 J jnl
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation.
CoRR
Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue
2019 A* conf
Neural Lander: Stable Drone Landing Control Using Learned Dynamics.
ICRA
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
2019 J jnl
Towards Physics-informed Deep Learning for Turbulent Flow Prediction.
CoRR
Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
2019 A* conf
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology.
NeurIPS
Nima Dehmamy, Albert-László Barabási, Rose Yu
2019 J jnl
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology.
CoRR
Nima Dehmamy, Albert-László Barabási, Rose Yu
2018 — conf
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.
ICLR (Poster)
Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu
2018 J jnl
Learning Tensor Latent Features.
CoRR
Sung-En Chang, Xun Zheng, Ian En-Hsu Yen, Pradeep Ravikumar, Rose Yu
2018 J jnl
Multi-resolution Tensor Learning for Large-Scale Spatial Data.
CoRR
Stephan Zheng, Rose Yu, Yisong Yue
2018 J jnl
Neural Lander: Stable Drone Landing Control using Learned Dynamics.
CoRR
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
2018 A conf
Tensor Regression Meets Gaussian Processes.
AISTATS
Rose Yu, Max Guangyu Li, Yan Liu
2017 A conf
Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting.
SDM
Rose Yu, Yaguang Li, Cyrus Shahabi, Ugur Demiryurek, Yan Liu
2017 J jnl
Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.
CoRR
Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu
2017 J jnl
Long-term Forecasting using Tensor-Train RNNs.
CoRR
Rose Yu, Stephan Zheng, Anima Anandkumar, Yisong Yue
2017 — ch.
Spatiotemporal Analysis of Social Media Data.
Encyclopedia of GIS
Rose Yu, Yan Liu
2017 J jnl
Tensor Regression Meets Gaussian Processes.
CoRR
Rose Yu, Max Guangyu Li, Yan Liu
2016 J jnl
A Survey on Social Media Anomaly Detection.
CoRR
Rose Yu, Huida Qiu, Zhen Wen, Ching-Yung Lin, Yan Liu
2016 J jnl
A Survey on Social Media Anomaly Detection.
SIGKDD Explor.
Rose Yu, Huida Qiu, Zhen Wen, Ching-Yung Lin, Yan Liu
2016 A conf
Geographic Segmentation via Latent Poisson Factor Model.
WSDM
Rose Yu, Andrew Gelfand, Suju Rajan, Cyrus Shahabi, Yan Liu
2016 A* conf
Latent Space Model for Road Networks to Predict Time-Varying Traffic.
KDD
Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Rose Yu, Yan Liu
2016 J jnl
Latent Space Model for Road Networks to Predict Time-Varying Traffic.
CoRR
Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Rose Yu, Yan Liu
2016 A* conf
Learning from Multiway Data: Simple and Efficient Tensor Regression.
ICML
Rose Yu, Yan Liu
2016 J jnl
Socratic Learning.
CoRR
Rose Yu, Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré
2015 A* conf
Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams.
ICML
Rose Yu, Dehua Cheng, Yan Liu
2015 J jnl
GLAD: Group Anomaly Detection in Social Media Analysis.
ACM Trans. Knowl. Discov. Data
Rose Yu, Xinran He, Yan Liu