Jacob Helwig

According to our database, Jacob Helwig authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional Theory.

Xuan Zhang, Haiyang Yu, Chengdong Wang, Jacob Helwig, Shuiwang Ji, Xiaofeng Qian

CoRR, March, 2026

2025

NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis.

Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jocelyn Ahmed Mazari, Jean-Patrick Brunet, Abbas Kabalan, Fabien Casenave, Yuxin Ma, Giovanni Catalani, Jean Fesquet, Jacob Helwig, Xuan Zhang, Haiyang Yu, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier, Shuiwang Ji

CoRR, June, 2025

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling.

Jacob Helwig, Sai Sreeharsha Adavi, Xuan Zhang, Yuchao Lin, Felix S. Chim, Luke Takeshi Vizzini, Haiyang Yu, Muhammad Hasnain, Saykat Kumar Biswas, John J. Holloway, Narendra Singh, N. K. Anand, Swagnik Guhathakurta, Shuiwang Ji

CoRR, June, 2025

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

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

Found. Trends Mach. Learn., 2025

2024

Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R.

Jacob Helwig, Sutanoy Dasgupta, Peng Zhao, Bani K. Mallick, Debdeep Pati

ACM Trans. Math. Softw., June, 2024

A Geometry-Aware Message Passing Neural Network for Modeling Aerodynamics over Airfoils.

Jacob Helwig, Xuan Zhang, Haiyang Yu, Shuiwang Ji

CoRR, 2024

Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.

Yuchao Lin, Jacob Helwig, Shurui Gui, Shuiwang Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations.

Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Semi-Supervised Learning for High-Fidelity Fluid Flow Reconstruction.

Cong Fu, Jacob Helwig, Shuiwang Ji

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Group Equivariant Fourier Neural Operators for Partial Differential Equations.

Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji

Proceedings of the International Conference on Machine Learning, 2023