updates to CV

Author: Anthony David Gruber

_pages/code.md

@@ -10,7 +10,7 @@ Some code repositories, current through 8/2023.
 1. [Bracket-based GNNs](https://github.com/natrask/BracketGraphs){: .btn .btn--info .btn--small}{: .align-right} A Python implementation of our NODE-style structure-preserving bracket-based graph neural networks.
 
 1. [Hamiltonian-OpInf](https://github.com/ikalash/hamiltonianopinf){: .btn .btn--info .btn--small}{: .align-right}  A 
-Python implementation of Hamiltonian operator inference, with experiments reproducing the results of our paper.
+Python implementation of Hamiltonian operator inference, with experiments reproducing the results of some papers.
 
 1. [Multifidelity-Monte-Carlo](https://github.com/agrubertx/Multifidelity-Monte-Carlo){: .btn .btn--info .btn--small}{: .align-right}  A Python implementation of multifidelity Monte Carlo estimation, with experiments reproducing the results of the relevant papers.
 

_pages/cv.md

@@ -6,7 +6,7 @@ author_profile: true
 redirect_from:
   - /resume
 ---
-Full CV in PDF version [available here](../files/Gruber_CV_2024.pdf), current through 1/2025.
+Full CV in PDF version [available here](../files/Gruber_CV.pdf), current through 3/2025.
 
 {% include base_path %}
 
@@ -51,7 +51,7 @@ Full CV in PDF version [available here](../files/Gruber_CV_2024.pdf), current th
 
 ### Conference Proceedings
 1. <ins>Anthony Gruber</ins>, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask.  *Efficiently Parameterized Neural Metriplectic Systems.*  **ICLR** (2025)  
-1. <ins>Anthony Gruber</ins>, Kookjin Lee, Nathaniel Trask.  *Reversible and irreversible bracket-based dynamics for deep graph neural networks.*  **NeurIPS** (2023)  
+1. <ins>Anthony Gruber</ins>, Kookjin Lee, Nathaniel Trask.  *Reversible and irreversible bracket-based dynamics for deep graph neural networks.* **NeurIPS** (2023)  
 1. Robert A. Bridges, <ins>Anthony D. Gruber</ins>, Christopher Felder, Miki Verma, Chelsey Hoff.  *Active Manifolds: A non-linear analogue to Active Subspaces.*  **ICML** (2019)
 
 <!-- 1. <ins>Anthony Gruber</ins>, Magdalena Toda, Hung Tran.  *Stationary surfaces with boundaries.*  **Ann. Glob. Anal. Geom.** (2022).

_pages/publications.md

@@ -10,8 +10,8 @@ Recorded here is a list of publications, current through 1/2025.
 ## Journal Articles
 1. [Preprint](https://arxiv.org/abs/2404.15315#){: .btn .btn--info .btn--small}{: .align-right}
 <sub> <ins>Anthony Gruber</ins>, Irina Tezaur.  
-*Variationally Consistent Hamiltonian Model Reduction.*  
-**SIAM J. Appl. Dyn. Sys.** (2024). </sub>
+[Variationally Consistent Hamiltonian Model Reduction.](https://epubs.siam.org/doi/full/10.1137/24M1652490)  
+**SIAM J. Appl. Dyn. Sys.** (2025). </sub>
 
 1. [Preprint](https://arxiv.org/abs/2304.06262#){: .btn .btn--info .btn--small}{: .align-right}
 <sub> <ins>Anthony Gruber</ins>, Irina Tezaur.  
@@ -91,7 +91,7 @@ Recorded here is a list of publications, current through 1/2025.
 ## Articles in Refereed Conference Proceedings
 1. [Preprint](https://arxiv.org/abs/2405.16305#){: .btn .btn--info .btn--small}{: .align-right}
 <sub> <ins>Anthony Gruber</ins>, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask.  
-*Efficiently Parameterized Neural Metriplectic Systems*  
+[Efficiently Parameterized Neural Metriplectic Systems](https://openreview.net/forum?id=uL1H29dM0c)  
 **13th ICLR Proceedings** (2025). </sub>
 
 1. [Preprint](https://arxiv.org/abs/2305.15616#){: .btn .btn--info .btn--small}{: .align-right}
@@ -152,6 +152,11 @@ data?](https://openreview.net/pdf/6e57f7c19bea601f663acfc7206f2d654e6e5a01.pdf)
 **TTU Electronic Thesis and Dissertation Repository** (2019). </sub>
 
 ## Submitted Articles
+1. [Preprint](https://arxiv.org/abs/2502.10888#){: .btn .btn--info .btn--small}{: .align-right}
+<sub> Arjun Vijaywargia, Shane A. McQuarrie, <ins>Anthony Gruber</ins>.  
+*Tensor Parametric Hamiltonian Operator Inference.*  
+(under review). </sub>
+
 1. [Preprint](https://arxiv.org/abs/2501.06686#){: .btn .btn--info .btn--small}{: .align-right}
 <sub> Sanghyun Hong, Fan Wu, <ins>Anthony Gruber</ins>, Kookjin Lee.  
 *Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations.*