Michael Murray

45 papers A* 5A 1B 1Misc 6Journal 23Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Affordance Generalization with BusyBox.
CoRR
Dean Fortier, Timothy Adamson, Tess Hellebrekers, Teresa LaScala, Kofi Ennin, Michael Murray, Andrey Kolobov, Galen Mullins
2025 J jnl
Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis.
CoRR
Brandon Beltz, Po-Yu Chen, Jim Doty, Yvonne Fonken, Nikolos Gurney, Hsiang-Wen Hsing, Sofia Hirschmann, Brett W. Israelsen, Nathan Lau, MengYun Li, Stacy Marsella, Michael Murray, Jinwoo Oh, Amy Sliva, Kunal Srivastava, Stoney Trent, Peggy Wu, Ya-Ting Yang, Quanyan Zhu
2025 J jnl
Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits.
CoRR
Michael Murray, Tenzin Chan, Kedar Karhadker, Christopher J. Hillar
2025 J jnl
Low Rank Gradients and Where to Find Them.
CoRR
Rishi Sonthalia, Michael Murray, Guido Montúfar
2025 — conf
Towards More Accessible Open Source AI Platforms.
RESPECT
Michael Murray, Tamanna Motahar, Maya Cakmak
2024 A* conf
Benign overfitting in leaky ReLU networks with moderate input dimension.
NeurIPS
Kedar Karhadkar, Erin George, Michael Murray, Guido F. Montúfar, Deanna Needell
2024 J jnl
Benign overfitting in leaky ReLU networks with moderate input dimension.
CoRR
Kedar Karhadkar, Erin George, Michael Murray, Guido Montúfar, Deanna Needell
2024 A* conf
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension.
NeurIPS
Kedar Karhadkar, Michael Murray, Guido F. Montúfar
2024 J jnl
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension.
CoRR
Kedar Karhadkar, Michael Murray, Guido Montúfar
2024 J jnl
Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users.
J. Am. Medical Informatics Assoc.
Jacqueline Honerlaw, Yuk-Lam Ho, Francesca Fontin, Michael Murray, Ashley Galloway, David Heise, Keith Connatser, Laura Davies, Jeffrey Gosian, Monika Maripuri, John Russo, Rahul Sangar, Vidisha Tanukonda, Edward Zielinski, Maureen Dubreuil, Andrew J. Zimolzak, Vidul Ayakulangara Panickan, Su-Chun Cheng, Stacey B. Whitbourne, David R. Gagnon, Tianxi Cai, Katherine P. Liao, Rachel B. Ramoni, John Michael Gaziano, Sumitra Muralidhar, Kelly Cho
2024 A conf
Diffusion-PbD: Generalizable Robot Programming by Demonstration with Diffusion Features.
IROS
Michael Murray, Entong Su, Maya Cakmak
2024 J jnl
Flexible loss functions for binary classification in gradient-boosted decision trees: An application to credit scoring.
Expert Syst. Appl.
Jonah Mushava, Michael Murray
2024 A* conf
Learning to Grasp in Clutter with Interactive Visual Failure Prediction.
ICRA
Michael Murray, Abhishek Gupta, Maya Cakmak
2024 J jnl
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape.
Trans. Mach. Learn. Res.
Kedar Karhadkar, Michael Murray, Hanna Tseran, Guido Montúfar
2024 Misc conf
Teaching Robots with Show and Tell: Using Foundation Models to Synthesize Robot Policies from Language and Visual Demonstration.
CoRL
Michael Murray, Abhishek Gupta, Maya Cakmak
2023 A* conf
Characterizing the spectrum of the NTK via a power series expansion.
ICLR
Michael Murray, Hui Jin, Benjamin Bowman, Guido Montúfar
2023 J jnl
Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase.
J. Am. Medical Informatics Assoc.
Jacqueline Honerlaw, Yuk-Lam Ho, Francesca Fontin, Jeffrey Gosian, Monika Maripuri, Michael Murray, Rahul Sangar, Ashley Galloway, Andrew J. Zimolzak, Stacey B. Whitbourne, Juan P. Casas, Rachel B. Ramoni, David R. Gagnon, Tianxi Cai, Katherine P. Liao, John Michael Gaziano, Sumitra Muralidhar, Kelly Cho
2023 — conf
Low-Effort, Unqualified, and Malicious User Behaviors in Online Human-Robot Interaction Studies.
SIGDOC
Tony W. Li, Yelin Jo, Zander Brumbaugh, Hanna Lee, Michael Murray, Elin A. Björling
2023 J jnl
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape.
CoRR
Kedar Karhadkar, Michael Murray, Hanna Tseran, Guido Montúfar
2023 — conf
Tell Me About It: Adolescent Self-Disclosure with an Online Robot for Mental Health.
HRI (Companion)
Tony W. Li, Michael Murray, Zander Brumbaugh, Raida Karim, Hanna Lee, Maya Cakmak, Elin A. Björling
2023 A* conf
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
NeurIPS
Erin George, Michael Murray, William Swartworth, Deanna Needell
2023 J jnl
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
CoRR
Erin George, Michael Murray, William Swartworth, Deanna Needell
2022 J jnl
A novel XGBoost extension for credit scoring class-imbalanced data combining a generalized extreme value link and a modified focal loss function.
Expert Syst. Appl.
Jonah Mushava, Michael Murray
2022 J jnl
Characterizing the Spectrum of the NTK via a Power Series Expansion.
CoRR
Michael Murray, Hui Jin, Benjamin Bowman, Guido Montúfar
2022 J jnl
Encoder Blind Combinatorial Compressed Sensing.
IEEE Trans. Inf. Theory
Michael Murray, Jared Tanner
2022 J jnl
Following Natural Language Instructions for Household Tasks With Landmark Guided Search and Reinforced Pose Adjustment.
IEEE Robotics Autom. Lett.
Michael Murray, Maya Cakmak
2021 J jnl
Activation function design for deep networks: linearity and effective initialisation.
CoRR
Michael Murray, Vinayak Abrol, Jared Tanner
2021 — —
From matrix factorisation to signal propagation in deep learning: algorithms and guarantees.
Michael Murray
2021 Misc conf
Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations.
CoRL
Michael Murray, Nick Walker, Amal Nanavati, Patrícia Alves-Oliveira, Nikita Filippov, Allison Sauppé, Bilge Mutlu, Maya Cakmak
2021 J jnl
Transjugular intrahepatic portosystemic shunt (TIPS) procedure: an assessment of the quality and readability of online information.
BMC Medical Informatics Decis. Mak.
Sean-Tee J. M. Lim, Martin Kelly, Logeswaran Selvarajah, Michael Murray, Timothy Scanlon
2020 J jnl
The Permuted Striped Block Model and its Factorization - Algorithms with Recovery Guarantees.
CoRR
Michael Murray, Jared Tanner
2019 Misc conf
Vision-and-Dialog Navigation.
CoRL
Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer
2019 J jnl
Vision-and-Dialog Navigation.
CoRR
Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer
2018 J jnl
An experimental comparison of classification techniques in debt recoveries scoring: Evidence from South Africa's unsecured lending market.
Expert Syst. Appl.
Jonah Mushava, Michael Murray
2018 — conf
Deep CNN Sparse Coding Analysis: Towards Average Case.
DSW
Michael Murray, Jared Tanner
2018 J jnl
Towards an understanding of CNNs: analysing the recovery of activation pathways via Deep Convolutional Sparse Coding.
CoRR
Michael Murray, Jared Tanner
2015 B conf
Promoting Comprehension of Health Information among Older Adults.
CogSci
Jessie Chin, Jessica Johnson, Darcie Moeller, Elise Duwe, James Graumlich, Michael Murray, Elizabeth A. L. Stine-Morrow, Daniel G. Morrow
2014 J jnl
Computer Security Incident Response Team Development and Evolution.
IEEE Secur. Priv.
Robin Ruefle, Audrey J. Dorofee, David A. Mundie, Allen D. Householder, Michael Murray, Samuel J. Perl
2005 — conf
'Digitally Renewing Democracy'? The Potential for eConsultation in Northern Ireland and the Republic of Ireland.
EGOV (Workshops and Posters)
G. Honor Fagan, Michael Murray, Paul McCusker
2005 — conf
Reviewing Policy, Practice and Potential of e-Consultation in Northern Ireland and the Republic of Ireland - A European Case Study.
ECEG
G. Honor Fagan, Michael Murray, Paul McCusker
2000 Misc conf
Ills Cured with a Dose of Remedy.
SIGUCCS
Michael Critchfield, Michael Murray
1999 Misc conf
A Help Desk Prescription - Curing Ills with a Dose of Remedy.
SIGUCCS
Michael Critchfield, Michael Murray, Michael Lewis, Jason Musselman
1998 Misc conf
Exchange Your Outlook - A University Migration or: "the outlook's so bright, I gotta wear shades?".
SIGUCCS
Michael Murray, Michael Quiner, Michael Critchfield
1993 — conf
Digital Boltzmann VLSI for Constraint Satisfaction and Learning.
NIPS
Michael Murray, Ming-Tak Leung, Kan Boonyanit, Kong Kritayakirana, James B. Burr, Gregory J. Wolff, Tokahiro Watanabe, Edward L. Schwartz, David G. Stork, Allen M. Peterson
1992 — conf
Deterministic Boltzmann machine VLSI can be scaled using multi-chip modules.
ASAP
Michael Murray, James B. Burr, David G. Stork, Ming-Tak Leung, Kan Boonyanit, Gregory J. Wolff, Allen M. Peterson