Anima Anandkumar
According to our database^{1},
Anima Anandkumar
authored at least 186 papers
between 2006 and 2021.
Collaborative distances:
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Bibliography
2021
ChanceConstrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems.
IEEE Robotics Autom. Lett., 2021
IEEE J. Sel. Top. Signal Process., 2021
ImageLevel or ObjectLevel? A Tale of Two Resampling Strategies for LongTailed Detection.
CoRR, 2021
CoRR, 2021
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles.
CoRR, 2021
CoRR, 2021
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments.
CoRR, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
J. Mach. Learn. Res., 2020
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects.
CoRR, 2020
Stability and Identification of Random Asynchronous Linear TimeInvariant Systems.
CoRR, 2020
CoRR, 2020
Multitask learning for electronic structure to predict and explore molecular potential energy surfaces.
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Deep learningbased computer vision to recognize and classify suturing gestures in robotassisted surgery.
CoRR, 2020
CoRR, 2020
CoRR, 2020
OrbNet: Deep Learning for Quantum Chemistry Using SymmetryAdapted AtomicOrbital Features.
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the ThirtySixth Conference on Uncertainty in Artificial Intelligence, 2020
MeshfreeFlowNet: a physicsconstrained deep continuous spacetime superresolution 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
MEGATRONCNTRL: Controllable Story Generation with External Knowledge Using LargeScale Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
HigherOrder Count Sketch: Dimensionality Reduction that Retains Efficient Tensor Operations.
Proceedings of the Data Compression Conference, 2020
Learning Pose Estimation for UAV Autonomous Navigation and Landing Using VisualInertial Sensor Data.
Proceedings of the 2020 American Control Conference, 2020
2019
J. Mach. Learn. Res., 2019
Found. Trends Mach. Learn., 2019
Learning Pose Estimation for UAV Autonomous Navigation andLanding Using VisualInertial Sensor Data.
CoRR, 2019
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers.
CoRR, 2019
CoRR, 2019
Finding Social Media Trolls: Dynamic Keyword Selection Methods for RapidlyEvolving Online Debates.
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the ThirtyFifth 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 SemiSupervised Learning.
CoRR, 2018
CoRR, 2018
signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant.
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 Blackbox 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
CoRR, 2017
CoRR, 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
CoRR, 2016
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models.
CoRR, 2016
CoRR, 2016
CoRR, 2016
Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods.
CoRR, 2016
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 nonconvex 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
MultiObject Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models.
CoRR, 2015
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
Algorithmica, 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
Highdimensional 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
CoRR, 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: Semisupervised and Unsupervised Settings.
CoRR, 2014
CoRR, 2014
MultiStep 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
CoRR, 2013
FCD: Fastconcurrentdistributed load balancing under switching costs and imperfect observations.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 1419, 2013, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Robust noncooperative ratemaximization 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
Highdimensional 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
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 36, 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 36, 2012
HighDimensional 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 LargeDeviation Analysis of the MaximumLikelihood 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
J. Mach. Learn. Res., 2011
CoRR, 2011
CoRR, 2011
HighDimensional 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 1214 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 1214 December 2011, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Indexbased 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
Learning Gaussian tree models: analysis of error exponents and extremal structures.
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
2009
IEEE Trans. Inf. Theory, 2009
SIGMETRICS Perform. Evaluation Rev., 2009
IEEE J. Sel. Areas Commun., 2009
A largedeviation analysis for the maximum likelihood learning of tree structures.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
PrizeCollecting Data Fusion for CostPerformance Tradeoff in Distributed Inference.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009
2008
IEEE Trans. Signal Process., 2008
IEEE Trans. Inf. Theory, 2008
CoRR, 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
Minimum Cost Data Aggregation with Localized Processing for Statistical Inference.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008
2007
TypeBased Random Access for Distributed Detection Over Multiaccess Fading Channels.
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 MultiAccess Channels with Random Number of Sensors.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006