Sifan Wang

Postdoc, Yale University

Joined

May 2022

Names

Sifan Wang (Preferred)

Emails

****@sas.upenn.edu (Confirmed)

****@yale.edu (Confirmed)

Personal Links

Google Scholar

Career & Education History

Postdoc

Yale University (yale.edu)

2024 – Present

PhD student

University of Pennsylvania (upenn.edu)

2018 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Paris Perdikaris

2020 – Present

Expertise

Scientific machine learning

Present

Publications

GeoFunFlow: Geometric Function Flow Matching for Inverse Operator Learning over Complex Geometries
Sifan Wang, Zhikai Wu, David van Dijk, Lu Lu
- Submitted to ICLR 2026
- Readers: Everyone
Unveiling the Scaling Law of PINNs under Non-Euclidean Geometry
Jasen Lai, Sifan Wang, Chunmei Wang, Yiping Lu
- Submitted to ICLR 2026
- Readers: Everyone
COAST: Intelligent Time-Adaptive Neural Operators
Zhikai Wu, Shiyang Zhang, Sizhuang He, Sifan Wang, Min Zhu, Anran Jiao, Lu Lu, David van Dijk
- AI4Math@ICML25 Poster
- Readers: Everyone
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sifan Wang, Ananyae Kumar bhartari, Bowen Li, Paris Perdikaris
- NeurIPS 2025 poster
- Readers: Everyone
CViT: Continuous Vision Transformer for Operator Learning
Sifan Wang, Jacob H Seidman, Shyam Sankaran, Hanwen Wang, George J. Pappas, Paris Perdikaris
- ICLR 2025 Poster
- Readers: Everyone
Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
Zhiwei Fang, Sifan Wang, Paris Perdikaris
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
When and why PINNs fail to train: A neural tangent kernel perspective
Sifan Wang, Xinling Yu, Paris Perdikaris
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
- ICML 2023 Poster
- Readers: Everyone
Mitigating Propagation Failures in PINNs using Evolutionary Sampling
Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Random Weight Factorization improves the training of Continuous Neural Representations
Sifan Wang, Hanwen Wang, Jacob H Seidman, Paris Perdikaris
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone