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ORCIDBenjamin A. Miller
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- affiliation: MIT Lincoln Laboratory, Lexington, MA, USA
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2020 – today
- 2024
[j8]Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Complex network effects on the robustness of graph convolutional networks. Appl. Netw. Sci. 9(1): 5 (2024)- [j7]Benjamin A. Miller
, Kevin S. Chan, Tina Eliassi-Rad:
Using overlapping methods to counter adversaries in community detection. J. Complex Networks 12(4) (2024) - [j6]William Shiao, Benjamin A. Miller, Kevin Chan, Paul L. Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis:
TenGAN: adversarially generating multiplex tensor graphs. Data Min. Knowl. Discov. 38(1): 1-21 (2024) - [j5]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Attacking Shortest Paths by Cutting Edges. ACM Trans. Knowl. Discov. Data 18(2): 35:1-35:42 (2024) - [c37]Varun R. Bharadwaj, Benjamin A. Miller, Vesna D. Novak, Chao Jiang:
Learning Skill Training Schedules from Domain Experts in a Rehabilitation Gym Using Inverse Reinforcement Learning. BioRob 2024: 1815-1821 - [i15]Erica Cai, Olga Simek, Benjamin A. Miller, Danielle Sullivan-Pao, Evan Young, Christopher L. Smith:
From low resource information extraction to identifying influential nodes in knowledge graphs. CoRR abs/2401.04915 (2024) - 2023
- [c36]Benjamin A. Miller, Bikranta Adhikari, Chao Jiang, Vesna D. Novak:
Automated Patient-Robot Task Assignment in a Simulated Stochastic Rehabilitation Gym. ICORR 2023: 1-6 - [i14]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Defense Against Shortest Path Attacks. CoRR abs/2305.19083 (2023) - [i13]Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Using Overlapping Methods to Counter Adversaries in Community Detection. CoRR abs/2308.03081 (2023) - [i12]Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Complex Network Effects on the Robustness of Graph Convolutional Networks. CoRR abs/2308.05498 (2023) - [i11]Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres:
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks. CoRR abs/2310.07979 (2023) - [i10]Zohair Shafi, Benjamin A. Miller, Ayan Chatterjee, Tina Eliassi-Rad, Rajmonda Sulo Caceres:
GRASP: Accelerating Shortest Path Attacks via Graph Attention. CoRR abs/2310.07980 (2023) - 2022
- [c35]Bikranta Adhikari, Shivanjali Ranashing, Benjamin A. Miller, Vesna D. Novak, Chao Jiang:
Learning Dynamic Patient-Robot Task Assignment and Scheduling for A Robotic Rehabilitation Gym. ICORR 2022: 1-6 - [p1]Lauren Milechin, Shana Hutchison, Hayden Jananthan, Jeremy Kepner, Benjamin A. Miller, Andrew Prout, Siddharth Samsi, Charles Yee, Vijay Gadepally:
Graphulo: Linear Algebra Graph Kernels. Massive Graph Analytics 2022: 525-548 - [i9]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Attacking Shortest Paths by Cutting Edges. CoRR abs/2211.11141 (2022) - 2021
- [c34]Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan:
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CNS 2021: 182-190 - [c33]Dalton Hass, Benjamin A. Miller, Boyi Dai, Domen Novak, Maja Gorsic:
Design and Pilot Evaluation of a Prototype Sensorized Trunk Exoskeleton. EMBC 2021: 4537-4541 - [c32]Benjamin A. Miller, Domen Novak:
Toward Real-Time Detection of Object Lifting Using Wearable Inertial Measurement Units. EMBC 2021: 6831-6834 - [c31]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
PATHATTACK: Attacking Shortest Paths in Complex Networks. ECML/PKDD (2) 2021: 532-547 - [i8]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
PATHATTACK: Attacking Shortest Paths in Complex Networks. CoRR abs/2104.03761 (2021) - [i7]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Optimal Edge Weight Perturbations to Attack Shortest Paths. CoRR abs/2107.03347 (2021) - [i6]Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan:
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CoRR abs/2112.13798 (2021) - 2020
- [i5]Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin S. Chan, Tina Eliassi-Rad:
Topological Effects on Attacks Against Vertex Classification. CoRR abs/2003.05822 (2020)
2010 – 2019
- 2018
- [c30]Benjamin A. Miller, Jeremy Vila, Malina Kirn, Joseph R. Zipkin:
Classifier Performance Estimation with Unbalanced, Partially Labeled Data. COST@SDM 2018: 4-16 - 2016
- [c29]Benjamin A. Miller, Rajmonda Sulo Caceres, Steven Thomas Smith:
Intersection and convex combination in multi-source spectral planted cluster detection. GlobalSIP 2016: 365-369 - [i4]Rajmonda Sulo Caceres, Leah Weiner, Matthew C. Schmidt, Benjamin A. Miller, William M. Campbell:
Model Selection Framework for Graph-based data. CoRR abs/1609.04859 (2016) - 2015
- [j4]Benjamin A. Miller, Michelle S. Beard, Patrick J. Wolfe, Nadya T. Bliss:
A Spectral Framework for Anomalous Subgraph Detection. IEEE Trans. Signal Process. 63(16): 4191-4206 (2015) - [c28]Vijay Gadepally, Taylor Herr, Luke Johnson, Lauren Milechin, Maja Milosavljevic, Benjamin A. Miller:
Sampling operations on big data. ACSSC 2015: 1515-1519 - [c27]Himanshu Nayar, Benjamin A. Miller, Kelly Geyer, Rajmonda Sulo Caceres, Steven Thomas Smith, Raj Rao Nadakuditi:
Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices. ACSSC 2015: 1520-1524 - [c26]Benjamin A. Miller, Stephen Kelley, Rajmonda Sulo Caceres, Steven Thomas Smith:
Residuals-based subgraph detection with cue vertices. ACSSC 2015: 1530-1534 - [c25]Benjamin A. Miller, Michelle S. Beard, Manfred D. Laubichler, Nadya T. Bliss:
Temporal and multi-source fusion for detection of innovation in collaboration networks. FUSION 2015: 659-665 - [c24]Lauren Edwards, Luke Johnson, Maja Milosavljevic, Vijay Gadepally, Benjamin A. Miller:
Sampling large graphs for anticipatory analytics. HPEC 2015: 1-6 - [c23]Michael M. Wolf, Benjamin A. Miller:
Improving the performance of graph analysis through partitioning with sampling. HPEC 2015: 1-6 - [c22]Alexis B. Cook, Benjamin A. Miller:
Planted clique detection below the noise floor using low-rank sparse PCA. ICASSP 2015: 3726-3730 - [c21]Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Benjamin A. Miller, Jeremy Kepner:
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases. IPDPS Workshops 2015: 822-830 - [i3]Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Benjamin A. Miller, Jeremy Kepner:
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases. CoRR abs/1508.07372 (2015) - 2014
- [c20]Michael M. Wolf, Benjamin A. Miller:
Sparse matrix partitioning for parallel eigenanalysis of large static and dynamic graphs. HPEC 2014: 1-6 - [c19]Benjamin A. Miller, Nicholas Arcolano:
Spectral subgraph detection with corrupt observations. ICASSP 2014: 3425-3429 - [i2]Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe, Michelle S. Beard:
A Spectral Framework for Anomalous Subgraph Detection. CoRR abs/1401.7702 (2014) - [i1]Benjamin A. Miller, Nicholas Arcolano, Michael M. Wolf, Nadya T. Bliss:
Spectral Anomaly Detection in Very Large Graphs: Models, Noise, and Computational Complexity. CoRR abs/1412.4411 (2014) - 2013
- [c18]Andrew K. Bolstad, Benjamin A. Miller:
Sparse volterra systems: Theory and practice. ICASSP 2013: 5740-5744 - [c17]Benjamin A. Miller, Nicholas Arcolano, Nadya T. Bliss:
Efficient anomaly detection in dynamic, attributed graphs: Emerging phenomena and big data. ISI 2013: 179-184 - 2012
- [j3]Benjamin A. Miller, Nadya T. Bliss:
A Stochastic System for Large Network Growth. IEEE Signal Process. Lett. 19(6): 356-359 (2012) - [c16]Andrew K. Bolstad, Benjamin A. Miller, Karen Gettings, Mike Ericson, Helen Kim, Merlin Green, Dan Santiago:
Sparse polynomial equalization of an RF receiver via algorithm, analog, and digital codesign. ACSCC 2012: 1102-1106 - [c15]Vineet Mehta, Feanil Patel, Yan Glina, Matthew C. Schmidt, Benjamin A. Miller, Nadya Travinin Bliss:
Characterization of traffic and structure in the U.S. airport network. CIDU 2012: 124-129 - [c14]Edward Rutledge, Benjamin A. Miller, Michelle S. Beard:
Benchmarking parallel eigen decomposition for residuals analysis of very large graphs. HPEC 2012: 1-5 - [c13]Benjamin A. Miller, Lauren H. Stephens, Nadya T. Bliss:
Goodness-of-fit statistics for anomaly detection in Chung-Lu random graphs. ICASSP 2012: 3265-3268 - [c12]Nicholas Arcolano, Karl S. Ni, Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe:
Moments of parameter estimates for Chung-Lu random graph models. ICASSP 2012: 3961-3964 - [c11]Benjamin A. Miller, Nicholas Arcolano, Michelle S. Beard, Jeremy Kepner, Matthew C. Schmidt, Nadya T. Bliss, Patrick J. Wolfe:
A scalable signal processing architecture for massive graph analysis. ICASSP 2012: 5329-5332 - [c10]Karen Gettings, Andrew K. Bolstad, Show-Yah Stuart Chen, Michael N. Ericson, Benjamin A. Miller, Michael Vai:
Low Power Sparse Polynomial Equalizer (SPEQ) for Nonlinear Digital Compensation of an Active Anti-Alias Filter. SiPS 2012: 249-253 - [c9]Benjamin A. Miller, Nadya T. Bliss:
Toward matched filter optimization for subgraph detection in dynamic networks. SSP 2012: 113-116 - 2011
- [c8]Benjamin A. Miller, Michelle S. Beard, Nadya T. Bliss:
Eigenspace analysis for threat detection in social networks. FUSION 2011: 1-7 - [c7]Andrew K. Bolstad, Benjamin A. Miller, Joel Goodman, James E. Vian, Janani Kalyanam:
Identification and compensation of Wiener-Hammerstein systems with feedback. ICASSP 2011: 4056-4059 - 2010
- [c6]Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe:
Toward signal processing theory for graphs and non-Euclidean data. ICASSP 2010: 5414-5417 - [c5]Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe:
Subgraph Detection Using Eigenvector L1 Norms. NIPS 2010: 1633-1641
2000 – 2009
- 2009
- [j2]Joel Goodman, Benjamin A. Miller, Matthew Herman, Gil Raz, Jeffrey H. Jackson:
Polyphase Nonlinear Equalization of Time-Interleaved Analog-to-Digital Converters. IEEE J. Sel. Top. Signal Process. 3(3): 362-373 (2009) - [j1]Joel Goodman, Matthew Herman, Bradley N. Bond, Benjamin A. Miller:
A Log-Frequency Approach to the Identification of the Wiener-Hammerstein Model. IEEE Signal Process. Lett. 16(10): 889-892 (2009) - 2008
- [c4]Benjamin A. Miller, Joel Goodman, Matthew Herman:
A Polyphase nonlinear equalization architecture and semi-blind identification method. ACSCC 2008: 593-597 - 2005
- [c3]Michael Janssen, Benjamin A. Miller, Andrew Drenner, Nikolaos Papanikolopoulos:
A GUI Framework for GPS-Enabled Robotic Guidance. ISIC 2005: 89-94 - [c2]Hossein Sedarat, Benjamin A. Miller, Kevin Fisher:
Multicarrier bit-loading in presence of biased Gaussian noise sources. CCNC 2005: 411-415 - [c1]Hossein Sedarat, Benjamin A. Miller, Kevin Fisher:
Impulse noise protection for multicarrier communication systems. ICASSP (3) 2005: 853-856
Coauthor Index
aka: Nadya Travinin Bliss
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