new papers

Author: stoyanovich

_bibliography/papers.bib

@@ -26,6 +26,21 @@ @article{hwang2026explanationmultiplicity
       bibtex_show={true}
 }
 
+@article{explainerPFN,
+      title={ExplainerPFN: Towards tabular foundation models for model-free zero-shot feature importance estimations}, 
+      author={Joao Fonseca and Julia Stoyanovich},
+      year={2026},
+      eprint={2601.23068},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2601.23068}, 
+      author+an = {2=self},
+      keywords = {working,explainability,transparency},
+      bibtex_show={true},
+      code = {https://github.com/joaopfonseca/ExplainerPFN},
+      preview = {transparency.png}
+}
+
 @inproceedings{turbal2025ellice,
   title={Elli{CE}: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets},
   author={Bohdan Turbal and Iryna Voitsitska and Lesia Semenova},
@@ -40,7 +55,7 @@ @inproceedings{turbal2025ellice
 
 @inproceedings{restQ,
   author={Kilbasovych, Ostap and Djeffal, Belkis and Bourhis, Pierre and Rouvoy, Romain},
-  booktitle={In Proceddings of the IEEE International Conference on Cloud Engineering (IC2E)}, 
+  booktitle={Proceedings of the IEEE International Conference on Cloud Engineering (IC2E)}, 
   title={{REST-Q – A Framework to Assess Energy Consumption in Web Applications}}, 
   year={2025},
   pages={77-78},
@@ -55,7 +70,7 @@ @inproceedings{restQ
 @inproceedings{BuleshnyiPZB,
    title = {Constraint-aware Learning of Probabilistic Sequential Models for Multi-Label Classification},
    author = {Mykhailo Buleshnyi and Anna Polova and Zsolt Zombori and Michael Benedikt},
-   booktitle = {In Proceedings of the Workshop on New Ideas for Large-Scale Neurosymbolic Learning Systems (LS-NSL) at VLDB},
+   booktitle = {Proceedings of the Workshop on New Ideas for Large-Scale Neurosymbolic Learning Systems (LS-NSL) at VLDB},
    bibtex_show={true}, 
    year = {2025},
    preview = {lightbulb.png},
@@ -87,7 +102,8 @@ @inproceedings{rosenblattfragments
   year={2025},
   pdf = {https://openreview.net/pdf?id=H1jGQUjAag},
   bibtex_show={true},
-  keywords = {privacy}
+  keywords = {privacy},
+  preview = {SafeNudge.jpg}
 }
 
 @inproceedings{rosenblattdifferential,
@@ -97,6 +113,7 @@ @inproceedings{rosenblattdifferential
   pdf = {https://openreview.net/pdf?id=SgIg3cZjuN},
   year={2025},
   bibtex_show={true},
+  preview = {epistemic_parity.png},
   keywords = {privacy}
 }
 
@@ -193,8 +210,9 @@ @inproceedings{fonseca-etal-2025-safenudge
     pages = "19955--19969",
     ISBN = "979-8-89176-332-6",
     bibtex_show={true},
-    code = {https:// github.com/joaopfonseca/SafeNudge},
+    code = {https://github.com/joaopfonseca/SafeNudge},
     selected = {true},
+    preview = {SafeNudge.jpg},
     keywords={conference,privacy,safety} 
 }
 
@@ -284,6 +302,7 @@ @article{ponomareva2025dp
   pdf = {https://arxiv.org/abs/2512.03238},
   year={2025},
   bibtex_show={true},
+  preview = {epistemic_parity.png},
   keywords = {working,privacy}
 }     
       
@@ -294,6 +313,7 @@ @article{kodama2025simkey
   pdf = {https://arxiv.org/abs/2510.12828},
   year={2025},
   bibtex_show={true},
+  preview = {epistemic_parity.png},
   keywords = {working,safety}
 }