Stephen Baek - RankMe

38 papers A* 2B 2Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A physics-aware deep learning model for shear band formation around collapsing pores in shocked reactive materials. CoRR Xinlun Cheng, Bingzhe Chen, Joseph B. Choi, Yen Thi Nguyen, Pradeep K. Seshadri, Mayank Verma, H. S. Udaykumar, Stephen Baek
2025	J	`jnl`	Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material. CoRR Shahab Azarfar, Joseph B. Choi, Phong C. H. Nguyen, Yen Thi Nguyen, Pradeep K. Seshadri, H. S. Udaykumar, Stephen Baek
2025	J	`jnl`	Multi-resolution Physics-Aware Recurrent Convolutional Neural Network for Complex Flows. CoRR Xinlun Cheng, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
2025	J	`jnl`	Towards a Physics Foundation Model. CoRR Florian Wiesner, Matthias Wessling, Stephen Baek
2024	A*	`conf`	Constrained Synthesis with Projected Diffusion Models. NeurIPS Jacob K. Christopher, Stephen Baek, Ferdinando Fioretto
2024	B	`conf`	FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning. IEEE Big Data Brianna Mueller, W. Nick Street, Stephen Baek, Qihang Lin, Jingyi Yang, Yankun Huang
2024	J	`jnl`	FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning. CoRR Brianna Mueller, W. Nick Street, Stephen Baek, Qihang Lin, Jingyi Yang, Yankun Huang
2024	J	`jnl`	Human-airway surface mesh smoothing based on graph convolutional neural networks. Comput. Methods Programs Biomed. Thao Thi Ho, Minh Tam Tran, Xinguang Cui, Ching-Long Lin, Stephen Baek, Woojin Kim, Chang Hyun Lee, Gong Yong Jin, Kum Ju Chae, Sanghun Choi
2024	A*	`conf`	PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling. ICML Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep K. Seshadri, Yen Thi Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek
2024	J	`jnl`	PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling. CoRR Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep K. Seshadri, Yen Thi Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek
2024	J	`jnl`	Projected Generative Diffusion Models for Constraint Satisfaction. CoRR Jacob K. Christopher, Stephen Baek, Ferdinando Fioretto
2023	J	`jnl`	Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling. J. Comput. Inf. Sci. Eng. Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
2023	J	`jnl`	Challenges and opportunities for machine learning in multiscale computational modeling. CoRR Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
2023	J	`jnl`	ProtoryNet - Interpretable Text Classification Via Prototype Trajectories. J. Mach. Learn. Res. Dat Hong, Tong Wang, Stephen Baek
2023	—	`conf`	Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis. SSCI Negin Moghadasi, Misagh Piran, Stephen Baek, Rupa S. Valdez, Michael D. Porter, DeAndre A. Johnson, James H. Lambert
2022	J	`jnl`	A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials. CoRR Phong C. H. Nguyen, Yen Thi Nguyen, Pradeep K. Seshadri, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
2022	J	`jnl`	Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions. CoRR Joseph B. Choi, Phong C. H. Nguyen, Oishik Sen, H. S. Udaykumar, Stephen Baek
2022	J	`jnl`	Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang
2022	J	`jnl`	Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization. CoRR Yankun Huang, Qihang Lin, W. Nick Street, Stephen Baek
2022	—	`conf`	On the Role of Depth Predictions for 3D Human Pose Estimation. FTC (1) Alec Diaz-Arias, Dmitriy Shin, Mitchell Messmore, Stephen Baek
2022	J	`jnl`	Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials. CoRR Phong C. H. Nguyen, Joseph B. Choi, Yen Thi Nguyen, Pradeep K. Seshadri, H. S. Udaykumar, Stephen Baek
2021	J	`jnl`	Machine Learning Prediction of Fall Risk in Older Adults Using Timed Up and Go Test Kinematics. Sensors Venous Roshdibenam, Gerald J. Jogerst, Nicholas R. Butler, Stephen Baek
2021	J	`jnl`	Mesh repairing using topology graphs. J. Comput. Des. Eng. Jerome Charton, Stephen Baek, Youngjun Kim
2021	J	`jnl`	On the role of depth predictions for 3D human pose estimation. CoRR Alec Diaz-Arias, Mitchell Messmore, Dmitriy Shin, Stephen Baek
2020	J	`jnl`	Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks. J. Comput. Des. Eng. Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
2020	J	`jnl`	ZerNet: Convolutional Neural Networks on Arbitrary Surfaces Via Zernike Local Tangent Space Estimation. Comput. Graph. Forum Zhiyu Sun, Ethan Rooke, Jerome Charton, Yusen He, Jia Lu, Stephen Baek
2019	J	`jnl`	Incremental ELMVIS for unsupervised learning. CoRR Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse
2019	J	`jnl`	Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network. IEEE Trans. Emerg. Top. Comput. Intell. Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek
2019	J	`jnl`	Multi-scale Embedded CNN for Music Tagging (MsE-CNN). CoRR Nima Hamidi, Mohsen Vahidzadeh, Stephen Baek
2019	J	`jnl`	What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival. CoRR Stephen Baek, Yusen He, Bryan G. Allen, John M. Buatti, Brian J. Smith, Kristin A. Plichta, Steven N. Seyedin, Maggie Gannon, Katherine R. Cabel, Yusung Kim, Xiaodong Wu
2018	—	`conf`	4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration. STACOM@MICCAI Siyeop Yoon, Stephen Baek, Deukhee Lee
2018	J	`jnl`	Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables. Cogn. Comput. Andrey Gritsenko, Anton Akusok, Stephen Baek, Yoan Miche, Amaury Lendasse
2018	J	`jnl`	Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks. CoRR Zhiyu Sun, Jia Lu, Stephen Baek
2018	J	`jnl`	ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation. CoRR Zhiyu Sun, Jia Lu, Stephen Baek
2017	J	`jnl`	A Deep Learning Framework for Short-term Power Load Forecasting. CoRR Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek
2017	J	`jnl`	Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks. CoRR Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
2016	B	`conf`	Combined nonlinear visualization and classification: ELMVIS++C. IJCNN Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse
2016	J	`jnl`	ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse