Anima Anandkumar
Orcid: 0000-0002-6974-6797Affiliations:
- California Institute of Technology, Pasadena, USA
- NVIDIA, USA
- University of California Irvine, Center for Pervasive Communications and Computing (former)
According to our database1,
Anima Anandkumar
authored at least 356 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Awards
ACM Fellow
ACM Fellow 2022, "For contributions to tensor methods for probabilistic models and neural operators".
Timeline
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Online presence:
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on twitter.com
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
CoRR, 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.
CoRR, 2024
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching.
CoRR, 2024
CoRR, 2024
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction.
CoRR, 2024
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Nat. Mac. Intell., December, 2023
Int. J. High Perform. Comput. Appl., November, 2023
Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints.
Quantum, July, 2023
Capturing fine-grained details for video-based automation of suturing skills assessment.
Int. J. Comput. Assist. Radiol. Surg., March, 2023
npj Digit. Medicine, 2023
J. Mach. Learn. Res., 2023
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.
Int. J. High Perform. Comput. Appl., 2023
CoRR, 2023
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023
CoRR, 2023
CoRR, 2023
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
CoRR, 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo.
CoRR, 2023
AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models.
CoRR, 2023
PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.
CoRR, 2023
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Machine Learning for Health, 2023
Proceedings of the 2023 International Symposium on Physical Design, 2023
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Conference on Robot Learning, 2023
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
Proceedings of the American Control Conference, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Trans. Mach. Learn. Res., 2022
LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update.
IEEE Trans. Computers, 2022
Sci. Robotics, 2022
IEEE Robotics Autom. Lett., 2022
Surgical gestures as a method to quantify surgical performance and predict patient outcomes.
npj Digit. Medicine, 2022
Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action.
Int. J. High Perform. Comput. Appl., 2022
CoRR, 2022
CoRR, 2022
Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators.
CoRR, 2022
CoRR, 2022
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design.
CoRR, 2022
1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track.
CoRR, 2022
Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models.
CoRR, 2022
Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems.
CoRR, 2022
CoRR, 2022
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training.
CoRR, 2022
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems.
CoRR, 2022
M<sup>2</sup>BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation.
CoRR, 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.
CoRR, 2022
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions.
Proceedings of the Transfer Learning for Natural Language Processing Workshop, 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Conference on Robot Learning, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems.
IEEE Robotics Autom. Lett., 2021
CoRR, 2021
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning.
CoRR, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow.
CoRR, 2021
Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update.
CoRR, 2021
UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry.
CoRR, 2021
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces.
CoRR, 2020
Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery.
CoRR, 2020
OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features.
CoRR, 2020
CoRR, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework.
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Higher-Order Count Sketch: Dimensionality Reduction that Retains Efficient Tensor Operations.
Proceedings of the Data Compression Conference, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data.
Proceedings of the 2020 American Control Conference, 2020
2019
Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data.
CoRR, 2019
CoRR, 2019
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates.
CoRR, 2019
CoRR, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Multi Sense Embeddings from Topic Models.
Proceedings of the 3rd International Conference on Natural Language and Speech Processing, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 Information Theory and Applications Workshop, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
IEEE Trans. Inf. Theory, 2017
J. Mach. Learn. Res., 2017
CoRR, 2017
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the 30th Conference on Learning Theory, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
SIAM J. Optim., 2016
Dagstuhl Reports, 2016
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models.
CoRR, 2016
Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016
Proceedings of the 29th Conference on Learning Theory, 2016
Proceedings of the 29th Conference on Learning Theory, 2016
Efficient approaches for escaping higher order saddle points in non-convex optimization.
Proceedings of the 29th Conference on Learning Theory, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
J. Mach. Learn. Res., 2015
When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity.
J. Mach. Learn. Res., 2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models.
CoRR, 2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods.
CoRR, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015
Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models].
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015
2014
IEEE Trans. Signal Process., 2014
High-dimensional covariance decomposition into sparse Markov and independence models.
J. Mach. Learn. Res., 2014
J. Mach. Learn. Res., 2014
J. Mach. Learn. Res., 2014
CoRR, 2014
CoRR, 2014
Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete Latent Variable Models.
CoRR, 2014
Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings.
CoRR, 2014
CoRR, 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
2013
Random Struct. Algorithms, 2013
Seeing through black boxes: Tracking transactions through queues under monitoring resource constraints.
Perform. Evaluation, 2013
CoRR, 2013
CoRR, 2013
FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Robust noncooperative rate-maximization game for MIMO Gaussian interference channels under bounded channel uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the COLT 2013, 2013
2012
IEEE Trans. Signal Process., 2012
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion.
J. Mach. Learn. Res., 2012
Proceedings of the COLT 2012, 2012
Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation
CoRR, 2012
Learning Loopy Graphical Models with Latent Variables: Efficient Methods and Guarantees
CoRR, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains.
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
IEEE Trans. Veh. Technol., 2011
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures.
IEEE Trans. Inf. Theory, 2011
Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret.
IEEE J. Sel. Areas Commun., 2011
J. Mach. Learn. Res., 2011
CoRR, 2011
CoRR, 2011
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Index-based sampling policies for tracking dynamic networks under sampling constraints.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
2010
IEEE Trans. Signal Process., 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
IEEE Trans. Inf. Theory, 2009
SIGMETRICS Perform. Evaluation Rev., 2009
IEEE J. Sel. Areas Commun., 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009
How do the structure and the parameters of Gaussian tree models affect structure learning?
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
IEEE Trans. Signal Process., 2008
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008
Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008
Proceedings of the 46th Annual Allerton Conference on Communication, 2008
2007
IEEE Trans. Signal Process., 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007
2006
A Large Deviation Analysis of Detection Over Multi-Access Channels with Random Number of Sensors.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006