Publications

More details on Google scholar.

• Statistical Foundations for Learning on Graphs

  PhD Thesis, UWSpace, University of Waterloo · 2024

  URL Slides

• Analysis of Corrected Graph Convolutions

  Robert Wang, Aseem Baranwal, Kimon Fountoulakis

  Neural Information Processing Systems · 2024

  URL arXiv

• Optimality of Message-Passing Architectures for Sparse Graphs

  Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath

  Neural Information Processing Systems · 2023

  URL arXiv Code Poster

• Antisquares and Critical Exponents

  Aseem Baranwal, James Currie, Lucas Mol, Pascal Ochem, Narad Rampersad, Jeffrey Shallit

  Discrete Mathematics & Theoretical Computer Science · 2023

  URL arXiv

• Graph Attention Retrospective

  Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal, Aukosh Jagannath

  Journal of Machine Learning Research · 2023

  URL arXiv Code Talk

• Effects of Graph Convolutions in Multi-layer Networks

  Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath

  International Conference on Learning Representations · 2023

  URL arXiv Code Slides Talk

• Graph convolution for Semi-Supervised Classification: Improved Linear Separability and OoD Generalization

  Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath

  International Conference on Machine Learning · 2021

  URL arXiv Code Slides Poster Talk

• Ostrowski-Automatic Sequences: Theory and Applications

  Aseem Baranwal, Luke Schaeffer, Jeffrey Shallit

  Theoretical Computer Science · 2021

  URL Code

• Decision Algorithms for Ostrowski-Automatic Sequences

  MMath Thesis, University of Waterloo · 2020

  URL Slides

• Repetitions in infinite palindrome-rich words

  Aseem Baranwal, Jeffrey Shallit

  Combinatorics on Words · 2019

  URL arXiv Slides

• Critical exponent of infinite balanced words via the Pell number system

  Aseem Baranwal, Jeffrey Shallit

  Combinatorics on Words · 2019

  URL arXiv