Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction
Published in arXiv, 2021
We conducted experiments using graph neural network ensembles to predict molecular HOMO-LUMO gaps.
Fine-Tuning Large Language Models to Appropriately Abstain via Semantic Entropy
Published in NeurIPS Safe Generative AI Workshop 2024, 2024
We fine-tune LLMs using semantic entropy to make them abstain from answering uncertain questions.
Enhancing the Expressivity of Temporal Graph Networks via Source-Target Identification
Published in NeurIPS Symmetry and Geometry in Neural Representations Workshop 2024 (Oral), 2024
We show that adding source-target identification to Temporal Graph Networks (TGNs) strictly increases its expressivity and demonstrate that the resulting architecture outperforms all TG methods in dynamic node affinity prediction on all TGB datasets.
T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs
Published in KDD 2025 Machine Learning on Graphs Workshop (Oral) & KDD 2026 (Data & Benchmarks), 2025
We design a temporal ‘obstacle course’ to systematically benchmarks the performance of TGNNs at carefully designed synthetic temporal reasoning tasks.
Feedforward Mixing is as Sharp as it is Slow in Reverse
Published in ICML 2026 Workshop on Combining Theory and Benchmarks: Towards A Virtuous Cycle to Understand and Guarantee Foundation Model Performance (T&B), 2026
We analyze the feedforward mixing process in neural networks and establish backward mixing time as a key metric for evaluating information propagation.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.