José M. F. Moura

ORCID

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 180

Top Venues

CoRR

ICASSP

ACSSC

IEEE Trans. Signal Process.

Publications

José M. F. Moura
Signal Processing at 75: More Dynamic and Pervasive Than Ever [Perspectives]. IEEE Signal Process. Mag. 41 (1) (2024)
Oren Wright, Yorie Nakahira, José M. F. Moura
An Analytic Solution to Covariance Propagation in Neural Networks. AISTATS (2024)
Augusto Santos, Diogo Rente, Rui Seabra, José M. F. Moura
Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise. ICASSP (2024)
John Shi, José M. F. Moura
Graph Signal Processing: The 2D Companion Model. ICASSP (2024)
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
Gradient Networks. CoRR (2024)
Augusto Santos, Diogo Rente, Rui Seabra, José M. F. Moura
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise. AAAI (2024)
Oren Wright, Yorie Nakahira, José M. F. Moura
An Analytic Solution to Covariance Propagation in Neural Networks. CoRR (2024)
John Shi, Shreyas Chaudhari, José M. F. Moura
Graph Convolutional Neural Networks In The Companion Model. ICASSP (2024)
Kawisorn Kamtue, José M. F. Moura, Orathai Sangpetch, Paulo Garcia
PHYOT: Physics-Informed Object Tracking in Surveillance Cameras. ICASSP (2024)
Tong Shen, Yang Li, José M. F. Moura
Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobility and Geographic Proximity. ICDE (2023)
Augusto Santos, Diogo Rente, Rui Seabra, José M. F. Moura
Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise. CoRR (2023)
Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura
Networked Signal and Information Processing: Learning by multiagent systems. IEEE Signal Process. Mag. 40 (5) (2023)
Shreyas Chaudhari, José M. F. Moura
Knowledge Distillation by Compressive Sampling. ACSSC (2023)
Augusto Santos, Diogo Rente, Rui Seabra, José M. F. Moura
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise. CoRR (2023)
Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. AAAI (2023)
Athina P. Petropulu, José M. F. Moura, Rabab Kreidieh Ward, Theresa Argiropoulos
Empowering the Growth of Signal Processing: The evolution of the IEEE Signal Processing Society. IEEE Signal Process. Mag. 40 (4) (2023)
Rajshekhar Das, Jonathan Francis, Sanket Vaibhav Mehta, Jean Oh, Emma Strubell, José M. F. Moura
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints. CoRR (2023)
Wei Li, Fangzhou Wang, José M. F. Moura, R. D. (Shawn) Blanton
Global Floorplanning via Semidefinite Programming. DAC (2023)
Wei Li, Ruben Purdy, José M. F. Moura, R. D. Shawn Blanton
Characterize the ability of GNNs in attacking logic locking. MLCAD (2023)
Srinivasa Pranav, José M. F. Moura
Peer-to-Peer Deep Learning for Beyond-5G IoT. CoRR (2023)
Farida Abdelmoneum, John Shi, José M. F. Moura
Graph Classification via Simple Graph Based Features. ACSSC (2023)
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
Learning Gradients of Convex Functions with Monotone Gradient Networks. ICASSP (2023)
Srinivasa Pranav, José M. F. Moura
Peer-to-Peer Learning + Consensus with Non-IID Data. CoRR (2023)
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
Learning Gradients of Convex Functions with Monotone Gradient Networks. CoRR (2023)
Srinivasa Pranav, José M. F. Moura
Peer-to-Peer Learning+Consensus with Non-IID Data. ACSSC (2023)
John Shi, José M. F. Moura
Extending DSP to Graph Signal Processing: The Companion Approach. ACSSC (2023)
Shreyas Chaudhari, José M. F. Moura
Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection. IEEECONF (2022)
John Shi, José M. F. Moura
Graph Signal Processing: Dualizing GSP Sampling in the Vertex and Spectral Domains. IEEE Trans. Signal Process. 70 (2022)
John Shi, José M. F. Moura
From DSP to GSP: Sampling in Both Domains. IEEECONF (2022)
Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. CoRR (2022)
Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura
Networked Signal and Information Processing. CoRR (2022)
Austin Lin, Wendy Summer, John Shi, Mark Cheung, José M. F. Moura
Using Sparse Spectral Shifts in Graph CNNs. ACSCC (2021)
Hagit Messer, Arye Nehorai, Jeffrey L. Krolik, José M. F. Moura, Al Hero, Joseph Tabrikian
In Remembrance of Peter Schultheiss [In Memoriam]. IEEE Signal Process. Mag. 38 (3) (2021)
Yang Li, Di Wang, José M. F. Moura
GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention. CoRR (2021)
Shreyas Chaudhari, Harideep Nair, José M. F. Moura, John Paul Shen
Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks. ICASSP (2021)
Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura
On the Importance of Distractors for Few-Shot Classification. ICCV (2021)
Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura
Annotation-Efficient Untrimmed Video Action Recognition. ACM Multimedia (2021)
Alireza Chamanzar, Xujin Liu, Lavender Yao Jiang, Kimon A. Vogt, José M. F. Moura, Pulkit Grover
Automated, Scalable and Generalizable Deep Learning for Tracking Cortical Spreading Depression Using EEG. NER (2021)
Evgeny Toropov, Paola A. Buitrago, José M. F. Moura
Shuffler: A Large Scale Data Management Tool for ML in Computer Vision. CoRR (2021)
Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura
On the Importance of Distractors for Few-Shot Classification. CoRR (2021)
Mark Cheung, José M. F. Moura
Graph Classification: Tradeoffs between Deep Neural Network Architecture and Graph Topology. ACSCC (2021)
Yixiong Zou, Shanghang Zhang, Jianpeng Yu, Yonghong Tian, José M. F. Moura
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition. ACM Multimedia (2021)
Shreyas Chaudhari, Harideep Nair, José M. F. Moura, John Paul Shen
Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks. CoRR (2021)
Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
On Network Science and Mutual Information for Explaining Deep Neural Networks. ICASSP (2020)
João Domingos, José M. F. Moura
Graph Fourier Transform: A Stable Approximation. IEEE Trans. Signal Process. 68 (2020)
Dusan Jakovetic, Dragana Bajovic, João M. F. Xavier, José M. F. Moura
Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics. Proc. IEEE 108 (11) (2020)
Yuan Chen, Soummya Kar, José M. F. Moura
Resilient Distributed Field Estimation. SIAM J. Control. Optim. 58 (3) (2020)
Soummya Kar, Markus Püschel, José M. F. Moura
Finite-Time In-Network Computation of Linear Transforms. ACSSC (2020)
Mark Cheung, José M. F. Moura
Graph Neural Networks for COVID-19 Drug Discovery. IEEE BigData (2020)
Yuan Chen, Soummya Kar, José M. F. Moura
Resilient Distributed Recovery of Large Fields. ICASSP (2020)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable machine learning in deployment. FAT* (2020)
Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura
Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification. ACSSC (2020)
Mark Cheung, John Shi, Oren Wright, Lavendar Y. Jiang, Xujin Liu, José M. F. Moura
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology. IEEE Signal Process. Mag. 37 (6) (2020)
Antonio G. Marques, Negar Kiyavash, José M. F. Moura, Dimitri Van De Ville, Rebecca Willett
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]. IEEE Signal Process. Mag. 37 (6) (2020)
Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura
Annotation-Efficient Untrimmed Video Action Recognition. CoRR (2020)
John Shi, Mark Cheung, Wendy Summer, José M. F. Moura
A Dual Approach to Graph CNNs. ACSSC (2020)
Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura
Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification. CoRR (2020)
Yixiong Zou, Shanghang Zhang, José M. F. Moura, Jianpeng Yu, Yonghong Tian
Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition. CoRR (2020)
Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura
Pooling in Graph Convolutional Neural Networks. CoRR (2020)
Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. CoRR (2020)
Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. ACM Multimedia (2020)
Umang Bhatt, Adrian Weller, José M. F. Moura
Evaluating and Aggregating Feature-based Model Explanations. CoRR (2020)
Umang Bhatt, Adrian Weller, José M. F. Moura
Evaluating and Aggregating Feature-based Model Explanations. IJCAI (2020)
Yang Li, José M. F. Moura
Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data. ECAI (2020)
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog. CoRR (2019)
Dragana Bajovic, José M. F. Moura, Dejan Vukobratovic
Detecting Random Walks on Graphs With Heterogeneous Sensors. IEEE Trans. Inf. Theory 65 (8) (2019)
Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
Distributed Global Optimization by Annealing. CAMSAP (2019)
Evgeny Toropov, Paola A. Buitrago, José M. F. Moura
Shuffler: A Large Scale Data Management Tool for Machine Learning in Computer Vision. PEARC (2019)
Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
Annealing for Distributed Global Optimization. CDC (2019)
Yuan Chen, Soummya Kar, José M. F. Moura
Resilient Distributed Estimation: Sensor Attacks. IEEE Trans. Autom. Control. 64 (9) (2019)
Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
Distributed Global Optimization by Annealing. CoRR (2019)
Umang Bhatt, Pradeep Ravikumar, José M. F. Moura
Building Human-Machine Trust via Interpretability. AAAI (2019)
Yang Li, José M. F. Moura
Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data. CoRR (2019)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable Machine Learning in Deployment. CoRR (2019)
Yuan Chen, Soummya Kar, José M. F. Moura
Secure Analytics and Resilient Inference for the Internet of Things. ICASSP (2019)
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog. NAACL-HLT (1) (2019)
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, Stefan Lee, José M. F. Moura, Devi Parikh, Dhruv Batra
Visual Dialog. IEEE Trans. Pattern Anal. Mach. Intell. 41 (5) (2019)
Liang-Yan Gui, David A. Sepiashvili, José M. F. Moura
Invariance to Affine-Permutation Distortions. CVPR Workshops (2019)
Umang Bhatt, Pradeep Ravikumar, José M. F. Moura
Towards Aggregating Weighted Feature Attributions. CoRR (2019)
Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. CoRR (2019)
Umang Bhatt, Brian Davis, José M. F. Moura
Diagnostic Model Explanations: A Medical Narrative. AAAI Spring Symposium: Interpretable AI for Well-being (2019)
Dusan Jakovetic, Dragana Bajovic, João M. F. Xavier, José M. F. Moura
Primal-dual optimization methods for large-scale and distributed data analytics. CoRR (2019)
Yuan Chen, Soummya Kar, José M. F. Moura
Resilient Distributed Parameter Estimation With Heterogeneous Data. IEEE Trans. Signal Process. 67 (19) (2019)
John Shi, José M. F. Moura
Topics in Graph Signal Processing: Convolution and Modulation. ACSSC (2019)
Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura
Pooling in Graph Convolutional Neural Networks. ACSSC (2019)
Yuan Chen, Soummya Kar, José M. F. Moura
Resilient Distributed Recovery of Large Fields. CoRR (2019)
Rajshekhar Das, Akshay Gadre, Shanghang Zhang, Swarun Kumar, José M. F. Moura
A Deep Learning Approach to IoT Authentication. ICC (2018)
Yuan Chen, Soummya Kar, José M. F. Moura
The Internet of Things: Secure Distributed Inference. IEEE Signal Process. Mag. 35 (5) (2018)
Yuan Chen, Soummya Kar, José M. F. Moura
Cyber-Physical Attacks With Control Objectives. IEEE Trans. Autom. Control. 63 (5) (2018)
Stephen Kruzick, José M. F. Moura
Optimal Filter Design for Consensus on Random Directed Graphs. SSP (2018)
June Zhang, José M. F. Moura
Cascading Edge Failures: A Dynamic Network Process. IEEE Trans. Netw. Sci. Eng. 5 (4) (2018)
Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura
Adversarial Geometry-Aware Human Motion Prediction. ECCV (4) (2018)
Stephen Kruzick, José M. F. Moura
Spectral Statistics of Directed Networks with Random Link Model Transpose-Asymmetry. DSW (2018)
Sam Safavi, Usman A. Khan, Soummya Kar, José M. F. Moura
Linear Distributed Algorithms For Localization In Mobile Networks. SSP (2018)
Yuan Chen, Soummya Kar, José M. F. Moura
Resilient Distributed Estimation Through Adversary Detection. IEEE Trans. Signal Process. 66 (9) (2018)
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach
Visual Coreference Resolution in Visual Dialog Using Neural Module Networks. ECCV (15) (2018)
John Shi, Mark Cheung, Jian Du, José M. F. Moura
Classification with Vertex-Based Graph Convolutional Neural Networks. ACSSC (2018)
Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso
Teaching Robots to Predict Human Motion. IROS (2018)
Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, José M. F. Moura
Few-Shot Human Motion Prediction via Meta-learning. ECCV (8) (2018)
June Zhang, José M. F. Moura
Who is More at Risk in Heterogenous Networks? ICASSP (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

José M. F. Moura