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2020 – today
- 2024
[j8]Adam Brown, Aditi Laddha, Mohit Singh:
Fast algorithms for maximizing the minimum eigenvalue in fixed dimension. Oper. Res. Lett. 57: 107186 (2024)- [j7]Ambar Murillo
, Alberto Elizondo, Sarah D'Angelo, Adam Brown, Ugam Kumar, Quinn Madison, Andrew Macvean:
Understanding and Designing for Trust in AI-Powered Developer Tooling. IEEE Softw. 41(6): 23-28 (2024) - [c9]Adam Brown, Sarah D'Angelo, Ambar Murillo, Ciera Jaspan, Collin Green:
Identifying the Factors That Influence Trust in AI Code Completion. AIware 2024 - [c8]Adam Brown, Aditi Laddha, Madhusudhan Reddy Pittu, Mohit Singh:
Approximation Algorithms for the Weighted Nash Social Welfare via Convex and Non-Convex Programs. SODA 2024: 1307-1327 - [i11]Adam Brown, Aditi Laddha, Madhusudhan Reddy Pittu, Mohit Singh:
Approximation Algorithms for the Weighted Nash Social Welfare via Convex and Non-Convex Programs. CoRR abs/2401.02918 (2024) - [i10]Adam Brown, Aditi Laddha, Mohit Singh:
Maximizing the Minimum Eigenvalue in Constant Dimension. CoRR abs/2401.14317 (2024) - 2023
- [j6]Adam Brown, Alison Chang, Ben Holtz, Sarah D'Angelo:
Developer Productivity for Humans, Part 6: Measuring Flow, Focus, and Friction for Developers. IEEE Softw. 40(6): 16-21 (2023) - [c7]Adam Brown, Sarah D'Angelo, Ben Holtz, Ciera Jaspan, Collin Green:
Using Logs Data to Identify When Software Engineers Experience Flow or Focused Work. CHI 2023: 867:1-867:12 - [i9]Adam Brown, Sarah D'Angelo, Ben Holtz, Ciera Jaspan, Collin Green:
Using Logs Data to Identify When Software Engineers Experience Flow or Focused Work. CoRR abs/2304.04711 (2023) - 2022
- [c6]Adam Brown, Aditi Laddha, Madhusudhan Pittu, Mohit Singh, Prasad Tetali:
Determinant Maximization via Matroid Intersection Algorithms. FOCS 2022: 255-266 - [i8]Adam Brown, Aditi Laddha, Madhusudhan Pittu, Mohit Singh, Prasad Tetali:
Determinant Maximization via Matroid Intersection Algorithms. CoRR abs/2207.04318 (2022) - [i7]Adam Brown, Ondrej Draganov:
Discrete Microlocal Morse Theory. CoRR abs/2209.14993 (2022) - [i6]Adam Brown, Aditi Laddha, Madhusudhan Pittu, Mohit Singh:
Efficient Determinant Maximization for All Matroids. CoRR abs/2211.10507 (2022) - 2021
- [j5]Adam Brown, Bei Wang:
Sheaf-Theoretic Stratification Learning from Geometric and Topological Perspectives. Discret. Comput. Geom. 65(4): 1166-1198 (2021) - [j4]Adam Brown, Omer Bobrowski, Elizabeth Munch, Bei Wang:
Probabilistic convergence and stability of random mapper graphs. J. Appl. Comput. Topol. 5(1): 99-140 (2021) - [j3]Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar:
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine 4 (2021) - [j2]Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar:
Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine 4 (2021) - [i5]Adam Brown, Ondrej Draganov:
Computing Minimal Injective Resolutions of Sheaves on Finite Posets. CoRR abs/2112.02609 (2021)
2010 – 2019
- 2019
- [i4]Adam Brown, Omer Bobrowski, Elizabeth Munch, Bei Wang:
Probabilistic Convergence and Stability of Random Mapper Graphs. CoRR abs/1909.03488 (2019) - 2018
- [j1]Adam Brown, Peter Nelson:
Matroids with no U2, n-minor and many hyperplanes. Adv. Appl. Math. 100: 143-147 (2018) - [c5]Adam Brown, Bei Wang:
Sheaf-Theoretic Stratification Learning. SoCG 2018: 14:1-14:14 - [i3]Cliff A. Joslyn, Michael Robinson, J. Smart, Khushbu Agarwal, David Bridgeland, Adam Brown, Sutanay Choudhury, Brett A. Jefferson, Brenda Praggastis, Emilie Purvine, William P. Smith, Dimitri Zarzhitsky:
HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase. TAC 2018 - 2017
- [i2]Adam Brown, Bei Wang:
Sheaf-Theoretic Stratification Learning. CoRR abs/1712.07734 (2017) - 2011
- [i1]Adam Brown:
Introducing metadata standards to a National Statistical Organisation. IASSIST Conference 2011
2000 – 2009
- 2007
- [c4]Adam Brown, James C. Browne, Calvin Lin:
Early Results with Precision Abstraction: Using Data-flow Analysis to Improve the Scalability of Model Checking. IPDPS 2007: 1-5 - 2006
- [c3]Adam Brown, Andrew H. Fagg:
Is it alive? sensor networks and art. SIGGRAPH Sketches 2006: 22 - [c2]Adam Brown, Andrew H. Fagg:
Bion. SIGGRAPH Art Gallery 2006: 29 - 2002
- [c1]Richard Cardone, Adam Brown, Sean McDirmid, Calvin Lin:
Using mixins to build flexible widgets. AOSD 2002: 76-85
Coauthor Index
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