Using mixins to build flexible widgets. - Richard Cardone; Adam Brown; Sean McDirmid; Calvin Lin (AOSD, 2002)

Is it alive? sensor networks and art. - Adam Brown; Andrew H. Fagg (SIGGRAPH Sketches, 2006)

Bion. - Adam Brown; Andrew H. Fagg (SIGGRAPH Art Gallery, 2006)

Early Results with Precision Abstraction: Using Data-flow Analysis to Improve the Scalability of Model Checking. - Adam Brown; James C. Browne; Calvin Lin (IPDPS, 2007)

Introducing metadata standards to a National Statistical Organisation. - Adam Brown (IASSIST Conference, 2011)

Sheaf-Theoretic Stratification Learning. - Adam Brown; Bei Wang 001 (SoCG, 2018)

HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase. - Cliff A. Joslyn; Michael Robinson 001; J. Smart; Khushbu Agarwal; David Bridgeland; Adam Brown; Sutanay Choudhury; Brett A. Jefferson; Brenda Praggastis; Emilie Purvine; William P. Smith 001; Dimitri Zarzhitsky (TAC, 2018)

Matroids with no U2, n-minor and many hyperplanes. - Adam Brown; Peter Nelson (Adv. Appl. Math., 2018)

Computing Minimal Injective Resolutions of Sheaves on Finite Posets. - Adam Brown; Ondrej Draganov (CoRR, 2021)

Sheaf-Theoretic Stratification Learning from Geometric and Topological Perspectives. - Adam Brown; Bei Wang 001 (Discret. Comput. Geom., 2021)

Probabilistic convergence and stability of random mapper graphs. - Adam Brown; Omer Bobrowski; Elizabeth Munch; Bei Wang 001 (J. Appl. Comput. Topol., 2021)

Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study. - Akshay S. Chaudhari; Erik Mittra; Guido A. Davidzon; Praveen Gulaka; Harsh Gandhi; Adam Brown; Tao Zhang; Shyam Srinivas; Enhao Gong; Greg Zaharchuk; Hossein Jadvar (npj Digit. Medicine, 2021)

Low-count whole-body PET with deep learning in a multicenter and externally validated study. - Akshay S. Chaudhari; Erik Mittra; Guido A. Davidzon; Praveen Gulaka; Harsh Gandhi; Adam Brown; Tao Zhang; Shyam Srinivas; Enhao Gong; Greg Zaharchuk; Hossein Jadvar (npj Digit. Medicine, 2021)

Determinant Maximization via Matroid Intersection Algorithms. - Adam Brown; Aditi Laddha; Madhusudhan Pittu; Mohit Singh; Prasad Tetali (FOCS, 2022)

Discrete Microlocal Morse Theory. - Adam Brown; Ondrej Draganov (CoRR, 2022)

Efficient Determinant Maximization for All Matroids. - Adam Brown; Aditi Laddha; Madhusudhan Pittu; Mohit Singh (CoRR, 2022)

Using Logs Data to Identify When Software Engineers Experience Flow or Focused Work. - Adam Brown; Sarah D'Angelo; Ben Holtz; Ciera Jaspan; Collin Green (CHI, 2023)

Developer Productivity for Humans, Part 6: Measuring Flow, Focus, and Friction for Developers. - Adam Brown; Alison Chang; Ben Holtz; Sarah D'Angelo (IEEE Softw., 2023)

Identifying the Factors That Influence Trust in AI Code Completion. - Adam Brown; Sarah D'Angelo; Ambar Murillo; Ciera Jaspan; Collin Green (AIware, 2024)

Approximation Algorithms for the Weighted Nash Social Welfare via Convex and Non-Convex Programs. - Adam Brown; Aditi Laddha; Madhusudhan Reddy Pittu; Mohit Singh (SODA, 2024)

Maximizing the Minimum Eigenvalue in Constant Dimension. - Adam Brown; Aditi Laddha; Mohit Singh (CoRR, 2024)

Fast algorithms for maximizing the minimum eigenvalue in fixed dimension. - Adam Brown; Aditi Laddha; Mohit Singh (Oper. Res. Lett., 2024)

Understanding and Designing for Trust in AI-Powered Developer Tooling. - Ambar Murillo; Alberto Elizondo; Sarah D'Angelo; Adam Brown; Ugam Kumar; Quinn Madison; Andrew Macvean (IEEE Softw., 2024)

Seamful AI for Creative Software Engineering: Use in Software Development Workflows. - Sarah Inman; Ambar Murillo; Sarah D'Angelo; Adam Brown; Collin Green (IEEE Softw., 2025)

Normalizations of factorizations over convex cones and their effects on extension complexity. - Adam Brown; Kanstantsin Pashkovich; Levent Tunçel (CoRR, 2025)