Anandkumar, Anima (2023) Neural Operators for Solving PDEs and Inverse Design ISPD '23: Proceedings of the 2023 International Symposium on Physical Design; 2023 International Symposium on Physical Design (ISPD '23), 26-29 March 2023 , Virtual Event

Shi, Yuanyuan; Li, Zongyi et al. (2022) Machine Learning Accelerated PDE Backstepping Observers 2022 IEEE 61st Conference on Decision and Control (CDC); 2022 IEEE 61st Conference on Decision and Control (CDC), 6-9 December 2022 , Cancun, Mexico

Jiang, Huaizu; Ma, Xiaojian et al. (2022) Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18-24 June 2022 , New Orleans, LA

Wang, Xinlong; Yu, Zhiding et al. (2022) FreeSOLO: Learning to Segment Objects without Annotations 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18-24 June 2022 , New Orleans, LA

Elezi, Ismail; Yu, Zhiding et al. (2022) Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18-24 June 2022 , New Orleans, LA

Li, Zhiqi; Wang, Wenhai et al. (2022) Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18-24 June 2022 , New Orleans, LA

Shi, Yuanyuan; Qu, Guannan et al. (2022) Stability Constrained Reinforcement Learning for Real-Time Voltage Control 2022 American Control Conference (ACC); 2022 American Control Conference (ACC), 8-10 June 2022 , Atlanta, GA

Wong, Josiah; Makoviychuk, Viktor et al. (2022) OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation 2022 International Conference on Robotics and Automation (ICRA); 2022 International Conference on Robotics and Automation (ICRA), 23-27 May 2022 , Philadelphia, PA

Anandkumar, Anima (2022) ScaDL 2022 Invited Talk 3: Million-x speedups through convergence of AI and HPC 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW); 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 30 May-3 June 2022 , Lyon, France

Lale, Sahin; Azizzadenesheli, Kamyar et al. (2021) Model Learning Predictive Control in Nonlinear Dynamical Systems 2021 60th IEEE Conference on Decision and Control (CDC); 2021 60th IEEE Conference on Decision and Control (CDC), 14-17 December 2021 , Austin, TX

Sun, Jiachen; Cao, Yulong et al. (2021) Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions 35th Conference on Neural Information Processing Systems (NeurIPS 2021); 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 6-14 December 2021 , [Online Only]

Yu, Zhiding; Huang, Rui et al. (2021) Coupled Segmentation and Edge Learning via Dynamic Graph Propagation 35th Conference on Neural Information Processing Systems (NeurIPS 2021); 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 6-14 December 2021 , [Online Only]

Zhu, Chen; Ping, Wei et al. (2021) Long-Short Transformer: Efficient Transformers for Language and Vision Thirty-fifth Conference on Neural Information Processing Systems 35th Conference on Neural Information Processing Systems (NeurIPS 2021); 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 6-14 December 2021 , [Online Only]

Xie, Enze; Wang, Wenhai et al. (2021) SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Advances in Neural Information Processing Systems 34 (NeurIPS 2021); Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 6-14 December 2021 , Virtual Event

Huang, Yujia; Zhang, Huan et al. (2021) Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds Advances in Neural Information Processing Systems 34 (NeurIPS 2021); arXiv; Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 6-14 December 2021 , Virtual Event

Wang, Haotao; Xiao, Chaowei et al. (2021) AugMax: Adversarial Composition of Random Augmentations for Robust Training Advances in Neural Information Processing Systems 34; arXiv; Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, 6-14 December 2021 , Virtual Event

Nie, Weili; Vahdat, Arash et al. (2021) Controllable and Compositional Generation with Latent-Space Energy-Based Models Advances in Neural Information Processing Systems 34 (NeurIPS 2021); arXiv; Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 6-14 December 2021 , Virtual Event

Jeong, Yoonwoo; Ahn, Seokjun et al. (2021) Self-Calibrating Neural Radiance Fields 2021 IEEE/CVF International Conference on Computer Vision (ICCV); arXiv; 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 10-17 October 2021 , Montreal, QB

Lan, Shiyi; Yu, Zhiding et al. (2021) DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision 2021 IEEE/CVF International Conference on Computer Vision (ICCV); arXiv; 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 10-17 October 2021 , Montreal, QB

Srikanth, Maya; Liu, Anqi et al. (2021) Dynamic Social Media Monitoring for Fast-Evolving Online Discussions Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining; arXiv; 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD '21), 14-18 August 2021 , Singapore

Chrysos, Grigorios G.; Kossaifi, Jean et al. (2021) Unsupervised Controllable Generation with Self-Training 2021 International Joint Conference on Neural Networks (IJCNN); arXiv; 2021 International Joint Conference on Neural Networks (IJCNN), 18-22 July 2021 , Shenzhen, China

Pan, Xinlei; Garg, Animesh et al. (2021) Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects 2021 IEEE International Conference on Robotics and Automation (ICRA); arXiv; 2021 IEEE International Conference on Robotics and Automation (ICRA), 30 May-5 June 2021 , Xi'an, China

Shi, Guanya; Zhu, Yifeng et al. (2021) Fast Uncertainty Quantification for Deep Object Pose Estimation 2021 IEEE International Conference on Robotics and Automation (ICRA); arXiv; 2021 IEEE International Conference on Robotics and Automation (ICRA), 30 May-5 June 2021 , Xi'an, China

Ravi Tej, Akella; Azizzadenesheli, Kamyar et al. (2021) Deep Bayesian Quadrature Policy Optimization Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21); arXiv; Vol. 35; Series.Proceedings of the AAAI Conference on Artificial Intelligence; Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2-9 February 2021 , [Online Only]

Lale, Sahin; Azizzadenesheli, Kamyar et al. (2021) Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting 2021 American Control Conference (ACC); arXiv; 2021 American Control Conference (ACC), 25-28 May 2021 , New Orleans, LA

Qiao, Zhuoran; Ding, Feizhi et al. (2020) Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces 34th Conference on Neural Information Processing Systems; arXiv; Series.Advances in Neural Information Processing Systems; No. 33; 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]

Nie, Weili; Yu, Zhiding et al. (2020) Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020); arXiv; 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]

Li, Yunzhu; Torralba, Antonio et al. (2020) Causal Discovery in Physical Systems from Videos Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020); arXiv; 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]

Su, Jiahao; Byeon, Wonmin et al. (2020) Convolutional Tensor-Train LSTM for Spatio-temporal Learning Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020); arXiv; 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]

Bernstein, Jeremy; Zhao, Jiawei et al. (2020) Learning compositional functions via multiplicative weight updates Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020); arXiv; 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]

Lale, Sahin; Azizzadenesheli, Kamyar et al. (2020) Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems Advances in neural information processing systems 33 pre-proceedings (NeurIPS 2020); 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]

Li, Zongyi; Kovachki, Nikola et al. (2020) Multipole Graph Neural Operator for Parametric Partial Differential Equations Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020); arXiv; 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]

Huang, Yujia; Gornet, James et al. (2020) Neural Networks with Recurrent Generative Feedback Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020); arXiv; 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]

Anandkumar, Animashree (2020) Role of HPC in next-generation AI 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC); IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC), 16-19 December 2020 , Pune, India

Jiang, Chiyu Max; Esmaeilzadeh, Soheil et al. (2020) MESHFREEFLOWNET: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework SC20: International Conference for High Performance Computing, Networking, Storage and Analysis; arXiv; SC20: International Conference for High Performance Computing, Networking, Storage and Analysis, 9-19 November 2020 , Atlanta, GA

Baldini, Francesca; Anandkumar, Animashree et al. (2020) Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data 2020 American Control Conference (ACC); arXiv; 2020 American Control Conference (ACC), 1-3 July 2020 , Denver, CO

Shi, Yang; Anandkumar, Animashree (2020) Higher-order Count Sketch: Dimensionality Reduction That Retains Efficient Tensor Operations 2020 Data Compression Conference (DCC); arXiv; 2020 Data Compression Conference (DCC), 24-27 March 2020 , Snowbird, UT

Schäfer, Florian; Anandkumar, Anima (2019) Competitive Gradient Descent 33rd Conference on Neural Information Processing Systems; 33rd Conference on Neural Information Processing Systems; 33rd Conference on Neural Information Processing Systems (NeurIPS), 8-14 December 2019 , Vancouver, Canada

Shi, Guanya; Shi, Xichen et al. (2019) Neural Lander: Stable Drone Landing Control using Learned Dynamics 2019 International Conference on Robotics and Automation (ICRA); arXiv; 2019 International Conference on Robotics and Automation (ICRA), 20-24 May 2019 , Montreal, Canada

Athiwaratkun, Ben; Wilson, Andrew Gordon et al. (2018) Probabilistic FastText for Multi-Sense Word Embeddings Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers); arXiv; 56th Annual Meeting of the Association for Computational Linguistics, 15-20 July 2018 , Melbourne, Australia

Shi, Yang; Furlanello, Tommaso et al. (2018) Question Type Guided Attention in Visual Question Answering Computer Vision – ECCV 2018; arXiv; Vol. IV; Series.Lecture Notes in Computer Science; No. 11208; 15th European Conference on Computer Vision (ECCV 2018), 8-14 September 2018 , Munich, Germany

Azizzadenesheli, Kamyar; Brunskill, Emma et al. (2018) Efficient Exploration Through Bayesian Deep Q-Networks 2018 Information Theory and Applications Workshop (ITA); 2018 Information Theory and Applications Workshop (ITA), 11-16 February 2018 , San Diego, CA

Kossaifi, Jean; Khanna, Aran et al. (2017) Tensor Contraction Layers for Parsimonious Deep Nets 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 21-26 July 2017 , Honolulu, HI

Wang, Yining; Anandkumar, Animashree (2016) Online and Differentially-Private Tensor Decomposition Neural Information Processing Systems 2016; arXiv; Advances in Neural Information Processing Systems 29 (NIPS 2016), 5-10 December 2016 , Barcelona, Spain

Shi, Yang; Niranjan, U. N. et al. (2016) Tensor Contractions with Extended BLAS Kernels on CPU and GPU 2016 IEEE 23rd International Conference on High Performance Computing; 2016 IEEE 23rd International Conference on High Performance Computing (HiPC), 19-22 December 2016 , Hyderabad, India

Wang, Yining; Tung, Hsiao-Yu et al. (2015) Fast and Guaranteed Tensor Decomposition via Sketching NIPS'15 Proceedings of the 28th International Conference on Neural Information Processing Systems; arXiv; Vol. 1; 28th International Conference on Neural Information Processing Systems (NIPS 15), 7-12 December 2015 , Montreal, Canada

Arabshahi, Forough; Huang, Furong et al. (2015) Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models] 2015 IEEE International Conference on Data Mining; 2015 IEEE International Conference on Data Mining (ICDM), 14-17 November 2015 , Atlantic City, NJ

Anandkumar, Animashree; Ge, Rong et al. (2015) Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT) Algorithmic Learning Theory; Series.Lecture Notes in Computer Science; No. 9355; 26th International Conference on Algorithmic Learning Theory (ALT 2015), October 4-6, 2015 , Banff, Canada

Sedghi, Hanie; Anandkumar, Anima et al. (2014) Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition Advances in neural information processing systems 27 : 28th Annual Conference on Neural Information Processing Systems 2014; 28th Annual Conference on Neural Information Processing Systems (NIPS 2014), 8-13 December 2014 , Montréal, QB

Netrapalli, Praneeth; Niranjan, U N et al. (2014) Provable Non-convex Robust PCA Advances in neural information processing systems 27 : 28th Annual Conference on Neural Information Processing Systems 2014; 28th Annual Conference on Neural Information Processing (NIPS 2014), 8-13 December 2014 , Montréal, QB

Anandkumar, Amod J. G.; Anandkumar, Animashree et al. (2013) Robust noncooperative rate-maximization game for MIMO Gaussian interference channels under bounded channel uncertainty 2013 IEEE International Conference on Acoustics, Speech and Signal Processing; 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 26-31 May 2013 , Vancouver, BC

Huang, Furong; Anandkumar, Animashree (2013) FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations 2013 Proceedings IEEE INFOCOM; 2013 Proceedings IEEE INFOCOM, 14-19 April 2013 , Turin, Italy

Sattari, Pegah; Kurant, Maciej et al. (2013) Active learning of multiple source multiple destination topologies 47th Annual Conference on Information Sciences and Systems; 47th Annual Conference on Information Sciences and Systems (CISS), 20-22 March 2013 , Baltimore, MD

Anandkumar, Anima; Foster, Dean P. et al. (2012) A Spectral Algorithm for Latent Dirichlet Allocation Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012; 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), 3-8 December 2012 , Lake Tahoe, NV

Anandkumar, Anima; Valluvan, Ragupathyraj (2012) Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012; 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), 3-6 December 2012 , Lake Tahoe, NV

Anandkumar, Anima; Tan, Voncent Y. F. et al. (2011) High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions Advances in neural information processing systems 24 : 25th Annual Conference on Neural Information Processing Systems 2011, December 12-15, 2011, Granada, Spain; 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), 12-15 December 2011 , Granada, Spain

Anandkumar, Animashree; Hsu, Daniel et al. (2011) Learning Mixtures of Tree Graphical Models Advances in neural information processing systems 24 : 25th Annual Conference on Neural Information Processing Systems 2011; 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), 12-17 December 2011 , Granada, Spain

Anandkumar, Animashree; Chaudhuri, Kamalika et al. (2011) Spectral Methods for Learning Multivariate Latent Tree Structure Advances in neural information processing systems 24 : 25th Annual Conference on Neural Information Processing Systems 2011, December 12-15, 2011, Granada, Spain; 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), 12-17 December 2011 , Granada, Spain

Khajehnejad, M. Amin; Yoo, Juhwan et al. (2011) Summary Based Structures with Improved Sublinear Recovery for Compressed Sensing 2011 IEEE International Symposium on Information Theory Proceedings; 2011 IEEE International Symposium on Information Theory (ISIT), Jul 31-Aug 05, 2011 , St. Petersburg, Russia

Balister, Paul; Bollobás, Béla et al. (2011) Energy-latency tradeoff for in-network function computation in random networks 2011 Proceedings IEEE INFOCOM; 2011 Proceedings IEEE INFOCOM, 10-15 April 2011 , Shanghai, China

He, Ting; Anandkumar, Animashree et al. (2011) Index-based sampling policies for tracking dynamic networks under sampling constraints 2011 Proceedings IEEE INFOCOM; 2011 Proceedings IEEE INFOCOM, 10-15 April 2011 , Shanghai, China

Anandkumar, Amod J. G.; Anandkumar, Animashree et al. (2010) Efficiency of rate-maximization game under bounded channel uncertainty 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers; Forty Fourth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2010, 7-10 November 2010 , Pacific Grove, CA

Tan, Vincent Y. F.; Anandkumar, Animashree et al. (2010) Error exponents for composite hypothesis testing of Markov forest distributions 2010 IEEE International Symposium on Information Theory; 2010 IEEE International Symposium on Information Theory (ISIT 2010), 13-18 June 2010 , Austin, TX

Liu, Ying; Chandrasekaran, Venkat et al. (2010) Feedback Message Passing for Inference in Gaussian Graphical Models 2010 IEEE International Symposium on Information Theory Proceedings (ISIT) ; 2010 IEEE International Symposium on Information Theory (ISIT 2010), 13-18 June 2010 , Austin, TX

Anandkumar, Animashree; Yukich, Joseph et al. (2010) Limit laws for random spatial graphical models 2010 IEEE International Symposium on Information Theory; 2010 IEEE International Symposium on Information Theory (ISIT 2010), 13-18 June 2010 , Austin, TX

Anandkumar, Animashree; Michael, Nithin et al. (2010) Opportunistic Spectrum Access with Multiple Users: Learning under Competition 2010 Proceedings IEEE INFOCOM; 2010 IEEE INFOCOM, 15-19 March 2010 , San Diego, CA

Anandkumar, Amod J. G.; Anandkumar, Animashree et al. (2010) Robust rate-maximization game under bounded channel uncertainty 2010 IEEE International Conference on Acoustics, Speech and Signal Processing; 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 14-19 March 2010 , Dallas, TX

Tan, Vincent Y. F.; Anandkumar, Animashree et al. (2009) How do the structure and the parameters of Gaussian tree models affect structure learning? 47th Annual Allerton Conference on Communication, Control, and Computing; 47th Annual Allerton Conference on Communication, Control, and Computing, September 30 - October 2, 2009 , Monticello, IL

Tan, Vincent Y. F.; Anandkumar, Animashree et al. (2009) A large-deviation analysis for the maximum likelihood learning of tree structures 2009 IEEE International Symposium on Information Theory; 2009 IEEE International Symposium on Information Theory, June 28 - July 3, 2009 , Seoul, Korea

Anandkumar, Animashree; Tong, Lang et al. (2009) Detection error exponent for spatially dependent samples in random networks 2009 IEEE International Symposium on Information Theory; 2009 IEEE International Symposium on Information Theory, June 28 - July 3, 2009 , Seoul, Korea

Anandkumar, Animashree; Wang, Meng et al. (2009) Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference 28th IEEE Conference on Computer Communications; 28th IEEE Conference on Computer Communications (INFOCOM 2009), 19-25 April 2009 , Rio de Janeiro, Brazil

Ezovski, G. Matthew; Anandkumar, Animashree et al. (2008) Min-min times in peer-to-peer file sharing networks 46th Annual Allerton Conference on Communication, Control, and Computing; 46th Annual Allerton Conference on Communication, Control, and Computing, 23-26 September 2008 , Urbana-Champaign, IL

Anandkumar, Animashree; Bisdikian, Chatschik et al. (2008) Tracking in a spaghetti bowl: monitoring transactions using footprints Proceedings of the 2008 ACM SIGMETRICS international conference on measurement and modeling of computer systems; 2008 ACM SIGMETRICS international conference on measurement and modeling of computer systems (SIGMETRICS '08), 2-6 June 2008 , Annapolis, MD

Anandkumar, Animashree; Tong, Lang et al. (2008) Minimum Cost Data Aggregation with Localized Processing for Statistical Inference 27th IEEE Conference on Computer Communications; 27th IEEE Conference on Computer Communications (INFOCOM 2008), April 15-17, 2008 , Phoenix, AZ

Sengupta, Bikram; Banerjee, Nilanjan et al. (2008) Non-intrusive transaction monitoring using system logs 2008 IEEE Network Operations and Management Symposium; 2008 IEEE Network Operations and Management Symposium (NOMS 2008), 7-11 April 2008 , Salvador, Bahia, Brazil

Anandkumar, Animashree; Tong, Lang et al. (2007) Detection of Gauss-Markov Random Field on Nearest-Neighbor Graph 2007 IEEE International Conference on Acoustics, Speech and Signal Processing; 2007 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '07), 15-20 April 2007 , Honolulu, HI

Anandkumar, Animashree; Tong, Lang et al. (2007) Energy Efficient Routing for Statistical Inference of Markov Random Fields 2007 41st annual conference on information sciences and systems : Baltimore, MD, 14-16 March, 2007.; 41stConference on Information Sciences and Systems, 14-16 March 2007 , Baltimore, MD

Anandkumar, Animashree; Tong, Lang (2006) A Large Deviation Analysis of Detection Over Multi-Access Channels with Random Number of Sensors 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings; Vol. 4; 2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 14-19 May 2006 , Toulouse, France

Anandkumar, Animashree; Tong, Lang (2006) Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels 2006 40th Annual Conference on Information Sciences and Systems; 2006 40th Annual Conference on Information Sciences and Systems, 22-24 March 2006 , Princeton, NJ