Matthew Arnold

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 14

Top Topics

Geometric Algebra

Labeling Effort

Top Venues

IBM J. Res. Dev.

ACM Trans. Softw. Eng. Methodol.

Publications

Daniel Lee, Matthew Arnold, Amit Srivastava, Katrina Plastow, Peter Strelan, Florian Ploeckl, Dimitra Lekkas, Edward Palmer
The impact of generative AI on higher education learning and teaching: A study of educators' perspectives. Comput. Educ. Artif. Intell. 6 (2024)
Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves. CoRR (2023)
Ed Saribatir, Niko Zurstraßen, Dietmar Hildenbrand, Florian Stock, Atilio Morillo Piña, Frederic von Wegner, Zheng Yan, Shiping Wen, Matthew Arnold
Game Physics Engine Using Optimised Geometric Algebra RISC-V Vector Extensions Code Using Fourier Series Data. CGI (4) (2023)
Zachary Heywood, Joshua B. Mallinson, Edoardo Galli, Susant Acharya, Saurabh K. Bose, Matthew Arnold, Philip Bones, Simon A. Brown
Self-organized nanoscale networks: are neuromorphic properties conserved in realistic device geometries? Neuromorph. Comput. Eng. 2 (2) (2022)
Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil
Learning Prediction Intervals for Model Performance. AAAI (2021)
Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri
Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals. CoRR (2021)
Jack Kaplan, Yana Sosnovskaya, Matthew Arnold, Blake Hannaford
Sensor Fusion for Force and Position Calibration of a Motorized Surgical Smart Grasper. ISMR (2021)
Michael Desmond, Catherine Finegan-Dollak, Jeffrey Boston, Matthew Arnold
Label Noise in Context. ACL (demo) (2020)
Begum Taskazan, Jirí Navrátil, Matthew Arnold, Anupama Murthi, Ganesh Venkataraman, Benjamin Elder
Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing. CoRR (2020)
Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil
Learning Prediction Intervals for Model Performance. CoRR (2020)
Jirí Navrátil, Matthew Arnold, Benjamin Elder
Uncertainty Prediction for Deep Sequential Regression Using Meta Models. CoRR (2020)
Matthew Arnold, Jeffrey Boston, Michael Desmond, Evelyn Duesterwald, Benjamin Elder, Anupama Murthi, Jirí Navrátil, Darrell Reimer
Towards Automating the AI Operations Lifecycle. CoRR (2020)
Matthew Arnold, Rachel K. E. Bellamy, Michael Hind, Stephanie Houde, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, David Piorkowski, Darrell Reimer, John T. Richards, Jason Tsay, Kush R. Varshney
FactSheets: Increasing trust in AI services through supplier's declarations of conformity. IBM J. Res. Dev. 63 (4/5) (2019)
Matthew Arnold, David Grove, Benjamin Herta, Michael Hind, Martin Hirzel, Arun Iyengar, Louis Mandel, Vijay A. Saraswat, Avraham Shinnar, Jérôme Siméon, Mikio Takeuchi, Olivier Tardieu, Wei Zhang
META: Middleware for Events, Transactions, and Analytics. IBM J. Res. Dev. 60 (2-3) (2016)
Alexander Tarvo, Peter F. Sweeney, Nick Mitchell, V. T. Rajan, Matthew Arnold, Ioana Baldini
CanaryAdvisor: a statistical-based tool for canary testing (demo). ISSTA (2015)
Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Edith Schonberg, Gary Sevitsky
Scalable Runtime Bloat Detection Using Abstract Dynamic Slicing. ACM Trans. Softw. Eng. Methodol. 23 (3) (2014)
Jeremiah J. Shepherd, Renaldo J. Doe, Matthew Arnold, Yun Zhu, Jijun Tang
A different approach to teaching Chinese through serious games. FDG (2011)
Matthew Arnold, Martin T. Vechev, Eran Yahav
QVM: An Efficient Runtime for Detecting Defects in Deployed Systems. ACM Trans. Softw. Eng. Methodol. 21 (1) (2011)
Jeremiah J. Shepherd, Renaldo J. Doe, Matthew Arnold, Nancy Cheek, Yun Zhu, Jijun Tang
Lost in the Middle Kingdom: a second language acquisition video game. ACM Southeast Regional Conference (2011)
Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Gary Sevitsky
Software bloat analysis: finding, removing, and preventing performance problems in modern large-scale object-oriented applications. FoSER (2010)
Erik R. Altman, Matthew Arnold, Stephen Fink, Nick Mitchell
Performance analysis of idle programs. OOPSLA (2010)
Erik R. Altman, Matthew Arnold, Rajesh Bordawekar, Robert M. Delmonico, Nick Mitchell, Peter F. Sweeney
Observations on tuning a Java enterprise application for performance and scalability. IBM J. Res. Dev. 54 (5) (2010)
Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Edith Schonberg, Gary Sevitsky
Finding low-utility data structures. PLDI (2010)
Guoqing Xu, Matthew Arnold, Nick Mitchell, Atanas Rountev, Gary Sevitsky
Go with the flow: profiling copies to find runtime bloat. PLDI (2009)
Jungwoo Ha, Matthew Arnold, Stephen M. Blackburn, Kathryn S. McKinley
A concurrent dynamic analysis framework for multicore hardware. OOPSLA (2009)
Matthew Arnold, Martin T. Vechev, Eran Yahav
QVM: an efficient runtime for detecting defects in deployed systems. OOPSLA (2008)
Ajeet Shankar, Matthew Arnold, Rastislav Bodík
Jolt: lightweight dynamic analysis and removal of object churn. OOPSLA (2008)
Jeremy Lau, Matthew Arnold, Michael Hind, Brad Calder
A Loop Correlation Technique to Improve Performance Auditing. PACT (2007)
Prasad A. Kulkarni, Matthew Arnold, Michael Hind
Dynamic compilation: the benefits of early investing. VEE (2007)
Dries Buytaert, Andy Georges, Michael Hind, Matthew Arnold, Lieven Eeckhout, Koen De Bosschere
Using hpm-sampling to drive dynamic compilation. OOPSLA (2007)
Christoph Bockisch, Sebastian Kanthak, Michael Haupt, Matthew Arnold, Mira Mezini
Efficient control flow quantification. OOPSLA (2006)
Christoph Bockisch, Matthew Arnold, Tom Dinkelaker, Mira Mezini
Adapting virtual machine techniques for seamless aspect support. OOPSLA (2006)
Jeremy Lau, Matthew Arnold, Michael Hind, Brad Calder
Online performance auditing: using hot optimizations without getting burned. PLDI (2006)
Matthew Arnold, Stephen J. Fink, David Grove, Michael Hind, Peter F. Sweeney
A Survey of Adaptive Optimization in Virtual Machines. Proc. IEEE 93 (2) (2005)
Wim De Pauw, Michelle Lei, Edward Pring, Lionel Villard, Matthew Arnold, John F. Morar
Web Services Navigator: Visualizing the execution of Web Services. IBM Syst. J. 44 (4) (2005)
Matthew Arnold, Adam Welc, V. T. Rajan
Improving virtual machine performance using a cross-run profile repository. OOPSLA (2005)
Matthew Arnold, David Grove
Collecting and Exploiting High-Accuracy Call Graph Profiles in Virtual Machines. CGO (2005)
Matthew Arnold, Barbara G. Ryder
Thin Guards: A Simple and Effective Technique for Reducing the Penalty of Dynamic Class Loading. ECOOP (2002)
Matthew Arnold, Michael Hind, Barbara G. Ryder
Online feedback-directed optimization of Java. OOPSLA (2002)
Matthew Arnold, Barbara G. Ryder
A Framework for Reducing the Cost of Instrumented Code. PLDI (2001)
Matthew Arnold, Michael S. Hsiao, Ulrich Kremer, Barbara G. Ryder
Exploring the Interaction between Java?s Implicitly Thrown Exceptions and Instruction Scheduling. Int. J. Parallel Program. 29 (2) (2001)
Matthew Arnold, Stephen J. Fink, David Grove, Michael Hind, Peter F. Sweeney
Adaptive optimization in the Jalapeño JVM. OOPSLA (2000)
Matthew Arnold, Michael Hind, Barbara G. Ryder
An Empirical Study of Selective Optimization. LCPC (2000)
Stuart Hart, Matthew Arnold, Rob Day
The Business of Sustainable Forestry: Meshing Operations with Strategic Purpose. Interfaces 30 (3) (2000)
Matthew Arnold, Stephen J. Fink, Vivek Sarkar, Peter F. Sweeney
A comparative study of static and profile-based heuristics for inlining. Dynamo (2000)
Matthew Arnold, Stephen Fink, David Grove, Michael Hind, Peter F. Sweeney
Adaptive optimization in the Jalapeño JVM (poster session). OOPSLA Addendum (2000)
Matthew Arnold, Michael S. Hsiao, Ulrich Kremer, Barbara G. Ryder
Instruction Scheduling in the Presence of Java's Runtime Exceptions. LCPC (1999)