–> <!– - On the Classification of Networks Using Graph Scattering [extended abstract]
- On the Inversion-Free Newton Algorithm for Softmax Regression [thesis]
- Existence of Induced H-Saturated Graphs
- Network Reliability Using Graph Coloring [preprint]
- Counting Triangles Using Combinatorics
- Metaprogramming for Contract Algorithms [preprint] –>
<!– back
Selected Papers
Formal Composition of Robotic Systems as Contract Programs
Mason Nakamura, Justin Svegliato, Samer Nashed, Shlomo Zilberstein, Stuart Russell
IROS 2023
MAPLE: A Framework for Active Preference Learning Guided by Large Language Models
Saaduddin Mahmud, Mason Nakamura, Shlomo Zilberstein
AAAI 2025
[paper]
[code avilabe soon]
News
2024
December
- Our paper on accelerating reward modeling using LLM guidance and abstract concepts has been accepted to AAAI-2025!
- Our paper on employing critical states in experience selection strategies for continual reinforcemnt learning has been accepted to AAAI-2025 Workshop on generalization in planning (GenPlan)!
2023
June
- Our paper on formalizing an intelligent system as a composition of contract algorithms has been accepted to IROS-2023!
May
- I recently graduated summa cum laude from Marist College, majoring in applied mathematics and data science with a minor in computer science!
May
- I was awarded the Excellence in Mathematics Award for graduating as the top mathematics student at Marist College.
March
- I accepted a computer science MS/PhD offer at UMass Amherst in the Resource-Bounded Reasoning Lab directed by Shlomo Zilberstein!
2022
May-November
- Visiting scholar at the Center for Human-Compatible AI (CHAI) at UC Berkeley on building well-founded AI using metareasoning.
March
- Our paper on using combinatorics to solve a combinatorial geometry problem has been accepted to MAA Mathematics Magazine!
2021
May-August
- Visiting scholar at Moravian University as part of an NSF REU on computational methods in discrete mathematics working on spectral and extremal graph theory.
2020
May-August
- Visiting scholar at Michigan State University as part of an NSF REU on experimental mathematics working on geometric deep learning.