<h1>Anandkumar, Animashree</h1>
<h2>Book Chapter from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2>
<ul>
<li>Shi, Yuanyuan and Li, Zongyi, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230315-336429000.9">Machine Learning Accelerated PDE Backstepping Observers</a>; ISBN 978-1-6654-6761-2; 2022 IEEE 61st Conference on Decision and Control (CDC); 5423-5428; <a href="https://doi.org/10.1109/cdc51059.2022.9992759">10.1109/cdc51059.2022.9992759</a></li>
<li>Jiang, Huaizu and Ma, Xiaojian, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230315-336421000.7">Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions</a>; <a href="https://doi.org/10.1109/cvpr52688.2022.01847">10.1109/cvpr52688.2022.01847</a></li>
<li>Elezi, Ismail and Yu, Zhiding, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230315-336419000.6">Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection</a>; ISBN 978-1-6654-6946-3; 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 14472-14781; <a href="https://doi.org/10.1109/cvpr52688.2022.01409">10.1109/cvpr52688.2022.01409</a></li>
<li>Li, Zhiqi and Wang, Wenhai, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230315-336427000.8">Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers</a>; ISBN 978-1-6654-6946-3; 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 1270-1279; <a href="https://doi.org/10.1109/cvpr52688.2022.00134">10.1109/cvpr52688.2022.00134</a></li>
<li>Shi, Yuanyuan and Qu, Guannan, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230315-336401000.3">Stability Constrained Reinforcement Learning for Real-Time Voltage Control</a>; 2022 American Control Conference (ACC); 2715-2721; <a href="https://doi.org/10.23919/acc53348.2022.9867476">10.23919/acc53348.2022.9867476</a></li>
<li>Wang, Xinlong and Yu, Zhiding, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230315-336403000.4">FreeSOLO: Learning to Segment Objects without Annotations</a>; <a href="https://doi.org/10.1109/cvpr52688.2022.01378">10.1109/cvpr52688.2022.01378</a></li>
<li>Wong, Josiah and Makoviychuk, Viktor, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230315-336082000.1">OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation</a>; <a href="https://doi.org/10.1109/icra46639.2022.9811967">10.1109/icra46639.2022.9811967</a></li>
<li>Anandkumar, Anima (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220805-757905000">ScaDL 2022 Invited Talk 3: Million-x speedups through convergence of AI and HPC</a>; ISBN 978-1-6654-9747-3; 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW); 1041; <a href="https://doi.org/10.1109/ipdpsw55747.2022.00168">10.1109/ipdpsw55747.2022.00168</a></li>
<li>Lale, Sahin and Azizzadenesheli, Kamyar, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220210-721786000">Model Learning Predictive Control in Nonlinear Dynamical Systems</a>; ISBN 978-1-6654-3659-5; 2021 60th IEEE Conference on Decision and Control (CDC); 757-762; <a href="https://doi.org/10.1109/cdc45484.2021.9683670">10.1109/cdc45484.2021.9683670</a></li>
<li>Zhu, Chen and Ping, Wei, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-230911029">Long-Short Transformer: Efficient Transformers for Language and Vision</a>; ISBN 9781713845393; Thirty-fifth Conference on Neural Information Processing Systems 35th Conference on Neural Information Processing Systems (NeurIPS 2021); 1-14</li>
<li>Sun, Jiachen and Cao, Yulong, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-232011120">Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions</a>; ISBN 9781713845393; 35th Conference on Neural Information Processing Systems (NeurIPS 2021); 1-15</li>
<li>Yu, Zhiding and Huang, Rui, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-225518550">Coupled Segmentation and Edge Learning via Dynamic Graph Propagation</a>; ISBN 9781713845393; 35th Conference on Neural Information Processing Systems (NeurIPS 2021); 1-14</li>
<li>Xie, Enze and Wang, Wenhai, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-232723221">SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers</a>; ISBN 9781713845393; Advances in Neural Information Processing Systems 34 (NeurIPS 2021); 1-14</li>
<li>Huang, Yujia and Zhang, Huan, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-224653496">Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds</a>; ISBN 9781713845393; Advances in Neural Information Processing Systems 34 (NeurIPS 2021); 22745-22757; <a href="https://doi.org/10.48550/arXiv.arXiv.2111.01395">10.48550/arXiv.arXiv.2111.01395</a></li>
<li>Wang, Haotao and Xiao, Chaowei, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-224700672">AugMax: Adversarial Composition of Random Augmentations for Robust Training</a>; <a href="https://doi.org/10.48550/arXiv.arXiv.2110.13771">10.48550/arXiv.arXiv.2110.13771</a></li>
<li>Nie, Weili and Vahdat, Arash, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-224708055">Controllable and Compositional Generation with Latent-Space Energy-Based Models</a>; ISBN 9781713845393; Advances in Neural Information Processing Systems 34 (NeurIPS 2021); 15498-15512; <a href="https://doi.org/10.48550/arXiv.arXiv.2110.10873">10.48550/arXiv.arXiv.2110.10873</a></li>
<li>Jeong, Yoonwoo and Ahn, Seokjun, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220715-171630599">Self-Calibrating Neural Radiance Fields</a>; ISBN 978-1-6654-2812-5; 2021 IEEE/CVF International Conference on Computer Vision (ICCV); 5826-5834; <a href="https://doi.org/10.1109/ICCV48922.2021.00579">10.1109/ICCV48922.2021.00579</a></li>
<li>Lan, Shiyi and Yu, Zhiding, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210831-203854134">DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision</a>; ISBN 978-1-6654-2812-5; 2021 IEEE/CVF International Conference on Computer Vision (ICCV); 3386-3396; <a href="https://doi.org/10.1109/ICCV48922.2021.00339">10.1109/ICCV48922.2021.00339</a></li>
<li>Srikanth, Maya and Liu, Anqi, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210510-121148191">Dynamic Social Media Monitoring for Fast-Evolving Online Discussions</a>; ISBN 978-1-4503-8332-5; Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining; 3576-3584; <a href="https://doi.org/10.1145/3447548.3467171">10.1145/3447548.3467171</a></li>
<li>Chrysos, Grigorios G. and Kossaifi, Jean, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201106-120158552">Unsupervised Controllable Generation with Self-Training</a>; ISBN 978-1-6654-3900-8; 2021 International Joint Conference on Neural Networks (IJCNN); 1-8; <a href="https://doi.org/10.1109/IJCNN52387.2021.9534045">10.1109/IJCNN52387.2021.9534045</a></li>
<li>Pan, Xinlei and Garg, Animesh, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210225-132725054">Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects</a>; ISBN 978-1-7281-9077-8; 2021 IEEE International Conference on Robotics and Automation (ICRA); 7540-7547; <a href="https://doi.org/10.1109/ICRA48506.2021.9562092">10.1109/ICRA48506.2021.9562092</a></li>
<li>Shi, Guanya and Zhu, Yifeng, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210225-132731801">Fast Uncertainty Quantification for Deep Object Pose Estimation</a>; ISBN 978-1-7281-9077-8; 2021 IEEE International Conference on Robotics and Automation (ICRA); 5200-5207; <a href="https://doi.org/10.1109/ICRA48506.2021.9561483">10.1109/ICRA48506.2021.9561483</a></li>
<li>Ravi Tej, Akella and Azizzadenesheli, Kamyar, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201106-120212166">Deep Bayesian Quadrature Policy Optimization</a>; <a href="https://doi.org/10.48550/arXiv.2006.15637">10.48550/arXiv.2006.15637</a></li>
<li>Lale, Sahin and Azizzadenesheli, Kamyar, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200403-141835981">Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting</a>; ISBN 978-1-6654-4197-1; 2021 American Control Conference (ACC); 2517-2522; <a href="https://doi.org/10.23919/ACC50511.2021.9483309">10.23919/ACC50511.2021.9483309</a></li>
<li>Qiao, Zhuoran and Ding, Feizhi, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201203-151028849">Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces</a>; <a href="https://doi.org/10.48550/arXiv.2011.02680">10.48550/arXiv.2011.02680</a></li>
<li>Bernstein, Jeremy and Zhao, Jiawei, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201106-120208748">Learning compositional functions via multiplicative weight updates</a>; <a href="https://doi.org/10.48550/arXiv.2006.14560">10.48550/arXiv.2006.14560</a></li>
<li>Nie, Weili and Yu, Zhiding, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201109-074710530">Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning</a>; <a href="https://doi.org/10.48550/arXiv.2010.00763">10.48550/arXiv.2010.00763</a></li>
<li>Huang, Yujia and Gornet, James, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201106-120201944">Neural Networks with Recurrent Generative Feedback</a>; <a href="https://doi.org/10.48550/arXiv.2007.09200">10.48550/arXiv.2007.09200</a></li>
<li>Li, Yunzhu and Torralba, Antonio, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201109-123525639">Causal Discovery in Physical Systems from Videos</a>; <a href="https://doi.org/10.48550/arXiv.2007.00631">10.48550/arXiv.2007.00631</a></li>
<li>Su, Jiahao and Byeon, Wonmin, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200402-134911700">Convolutional Tensor-Train LSTM for Spatio-temporal Learning</a>; <a href="https://doi.org/10.48550/arXiv.2002.09131">10.48550/arXiv.2002.09131</a></li>
<li>Lale, Sahin and Azizzadenesheli, Kamyar, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-222544264">Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems</a>; ISBN 9781713829546; Advances in neural information processing systems 33 pre-proceedings (NeurIPS 2020); 1-13</li>
<li>Anandkumar, Animashree (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210507-122910987">Role of HPC in next-generation AI</a>; ISBN 9781665422925; 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC); xx; <a href="https://doi.org/10.1109/hipc50609.2020.00010">10.1109/hipc50609.2020.00010</a></li>
<li>Li, Zongyi and Kovachki, Nikola, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201106-120222366">Multipole Graph Neural Operator for Parametric Partial Differential Equations</a>; <a href="https://doi.org/10.48550/arXiv.2006.09535">10.48550/arXiv.2006.09535</a></li>
<li>Jiang, Chiyu Max and Esmaeilzadeh, Soheil, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200526-153937049">MESHFREEFLOWNET: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework</a>; ISBN 978-1-7281-9998-6; SC20: International Conference for High Performance Computing, Networking, Storage and Analysis; 1-15; <a href="https://doi.org/10.1109/SC41405.2020.00013">10.1109/SC41405.2020.00013</a></li>
<li>Baldini, Francesca and Anandkumar, Animashree, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200108-154918519">Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data</a>; ISBN 9781538682661; 2020 American Control Conference (ACC); 2961-2966; <a href="https://doi.org/10.23919/ACC45564.2020.9147400">10.23919/ACC45564.2020.9147400</a></li>
<li>Shi, Yang and Anandkumar, Animashree (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190327-085821224">Higher-order Count Sketch: Dimensionality Reduction That Retains Efficient Tensor Operations</a>; ISBN 978-1-7281-6457-1; 2020 Data Compression Conference (DCC); 394; <a href="https://doi.org/10.1109/DCC47342.2020.00045">10.1109/DCC47342.2020.00045</a></li>
<li>Schäfer, Florian and Anandkumar, Anima (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190905-154241002">Competitive Gradient Descent</a>; <a href="https://doi.org/10.48550/arXiv.1905.12103">10.48550/arXiv.1905.12103</a></li>
<li>Shi, Guanya and Shi, Xichen, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-100744248">Neural Lander: Stable Drone Landing Control using Learned Dynamics</a>; ISBN 978-1-5386-6027-0; 2019 International Conference on Robotics and Automation (ICRA); 9784-9790; <a href="https://doi.org/10.1109/ICRA.2019.8794351">10.1109/ICRA.2019.8794351</a></li>
<li>Athiwaratkun, Ben and Wilson, Andrew Gordon, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190327-085800530">Probabilistic FastText for Multi-Sense Word Embeddings</a>; ISBN 978-1-948087-32-2; Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers); Art. No. P18-1001; <a href="https://doi.org/10.48550/arXiv.1806.02901">10.48550/arXiv.1806.02901</a></li>
<li>Shi, Yang and Furlanello, Tommaso, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190327-085753056">Question Type Guided Attention in Visual Question Answering</a>; ISBN 978-3-030-01224-3; Computer Vision – ECCV 2018; 158-175; <a href="https://doi.org/10.1007/978-3-030-01225-0_10">10.1007/978-3-030-01225-0_10</a></li>
<li>Azizzadenesheli, Kamyar and Brunskill, Emma, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20181101-121222226">Efficient Exploration Through Bayesian Deep Q-Networks</a>; ISBN 9781728101248; 2018 Information Theory and Applications Workshop (ITA); 1-9; <a href="https://doi.org/10.1109/ita.2018.8503252">10.1109/ita.2018.8503252</a></li>
<li>Kossaifi, Jean and Khanna, Aran, el al. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20180321-103123441">Tensor Contraction Layers for Parsimonious Deep Nets</a>; ISBN 978-1-5386-0733-6; 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); 1940-1946; <a href="https://doi.org/10.1109/CVPRW.2017.243">10.1109/CVPRW.2017.243</a></li>
<li>Wang, Yining and Anandkumar, Animashree (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190401-123322786">Online and Differentially-Private Tensor Decomposition</a>; ISBN 9781510838819; Neural Information Processing Systems 2016; Art. No. 6498; <a href="https://doi.org/10.48550/arXiv.1606.06237">10.48550/arXiv.1606.06237</a></li>
<li>Shi, Yang and Niranjan, U. N., el al. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170920-112945692">Tensor Contractions with Extended BLAS Kernels on CPU and GPU</a>; ISBN 978-1-5090-5411-4; 2016 IEEE 23rd International Conference on High Performance Computing; 193-202; <a href="https://doi.org/10.1109/HiPC.2016.031">10.1109/HiPC.2016.031</a></li>
<li>Wang, Yining and Tung, Hsiao-Yu, el al. (2015) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190401-123256793">Fast and Guaranteed Tensor Decomposition via Sketching</a>; <a href="https://doi.org/10.48550/arXiv.1506.04448">10.48550/arXiv.1506.04448</a></li>
<li>Arabshahi, Forough and Huang, Furong, el al. (2015) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170927-083449769">Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]</a>; ISBN 978-1-4673-9504-5; 2015 IEEE International Conference on Data Mining; 697-702; <a href="https://doi.org/10.1109/ICDM.2015.146">10.1109/ICDM.2015.146</a></li>
<li>Anandkumar, Animashree and Ge, Rong, el al. (2015) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170920-143816175">Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT)</a>; ISBN 978-3-319-24485-3; Algorithmic Learning Theory; 19-38; <a href="https://doi.org/10.1007/978-3-319-24486-0_2">10.1007/978-3-319-24486-0_2</a></li>
<li>Netrapalli, Praneeth and Niranjan, U N, el al. (2014) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-220846768">Provable Non-convex Robust PCA</a>; ISBN 9781510800410; Advances in neural information processing systems 27 : 28th Annual Conference on Neural Information Processing Systems 2014; 1-9</li>
<li>Sedghi, Hanie and Anandkumar, Anima, el al. (2014) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-215036029">Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition</a>; ISBN 9781510800410; Advances in neural information processing systems 27 : 28th Annual Conference on Neural Information Processing Systems 2014; 1-9</li>
<li>Anandkumar, Amod J. G. and Anandkumar, Animashree, el al. (2013) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170925-100945197">Robust noncooperative rate-maximization game for MIMO Gaussian interference channels under bounded channel uncertainty</a>; ISBN 978-1-4799-0356-6; 2013 IEEE International Conference on Acoustics, Speech and Signal Processing; 4819-4823; <a href="https://doi.org/10.1109/ICASSP.2013.6638576">10.1109/ICASSP.2013.6638576</a></li>
<li>Huang, Furong and Anandkumar, Animashree (2013) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170925-100358224">FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations</a>; ISBN 978-1-4673-5944-3; 2013 Proceedings IEEE INFOCOM; 1896-1904; <a href="https://doi.org/10.1109/INFCOM.2013.6566989">10.1109/INFCOM.2013.6566989</a></li>
<li>Sattari, Pegah and Kurant, Maciej, el al. (2013) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170925-095252031">Active learning of multiple source multiple destination topologies</a>; ISBN 978-1-4673-5237-6; 47th Annual Conference on Information Sciences and Systems; 1-6; <a href="https://doi.org/10.1109/CISS.2013.6552253">10.1109/CISS.2013.6552253</a></li>
<li>Anandkumar, Anima and Foster, Dean P., el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-213700256">A Spectral Algorithm for Latent Dirichlet Allocation</a></li>
<li>Anandkumar, Anima and Valluvan, Ragupathyraj (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-212818169">Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs</a>; ISBN 9781627480031; Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012; 1-9</li>
<li>Anandkumar, Animashree and Hsu, Daniel, el al. (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-212034677">Learning Mixtures of Tree Graphical Models</a>; ISBN 9781618395993; Advances in neural information processing systems 24 : 25th Annual Conference on Neural Information Processing Systems 2011; 1-9</li>
<li>Anandkumar, Animashree and Chaudhuri, Kamalika, el al. (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-190922619">Spectral Methods for Learning Multivariate Latent Tree Structure</a>; ISBN 9781618395993; Advances in neural information processing systems 24 : 25th Annual Conference on Neural Information Processing Systems 2011, December 12-15, 2011, Granada, Spain; 1-9</li>
<li>Anandkumar, Anima and Tan, Voncent Y. F., el al. (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-193410312">High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions</a>; ISBN 9781618395993; Advances in neural information processing systems 24 : 25th Annual Conference on Neural Information Processing Systems 2011, December 12-15, 2011, Granada, Spain; 1-9</li>
<li>Khajehnejad, M. Amin and Yoo, Juhwan, el al. (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20120406-072754339">Summary Based Structures with Improved Sublinear Recovery for Compressed Sensing</a>; ISBN 978-1-4577-0596-0; 2011 IEEE International Symposium on Information Theory Proceedings; 1427-1431; <a href="https://doi.org/10.1109/ISIT.2011.6033775">10.1109/ISIT.2011.6033775</a></li>
<li>Balister, Paul and Bollobás, Béla, el al. (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170925-092119382">Energy-latency tradeoff for in-network function computation in random networks</a>; ISBN 978-1-4244-9919-9; 2011 Proceedings IEEE INFOCOM; 1575-1583; <a href="https://doi.org/10.1109/INFCOM.2011.5934949">10.1109/INFCOM.2011.5934949</a></li>
<li>He, Ting and Anandkumar, Animashree, el al. (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170925-091212425">Index-based sampling policies for tracking dynamic networks under sampling constraints</a>; ISBN 978-1-4244-9919-9; 2011 Proceedings IEEE INFOCOM; 1233-1241; <a href="https://doi.org/10.1109/INFCOM.2011.5934904">10.1109/INFCOM.2011.5934904</a></li>
<li>Anandkumar, Amod J. G. and Anandkumar, Animashree, el al. (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170922-134024046">Efficiency of rate-maximization game under bounded channel uncertainty</a>; ISBN 978-1-4244-9722-5; 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers; 482-486; <a href="https://doi.org/10.1109/ACSSC.2010.5757605">10.1109/ACSSC.2010.5757605</a></li>
<li>Liu, Ying and Chandrasekaran, Venkat, el al. (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121004-153356182">Feedback Message Passing for Inference in Gaussian Graphical Models</a>; ISBN 978-1-4244-6960-4; 2010 IEEE International Symposium on Information Theory Proceedings (ISIT); 1683-1687; <a href="https://doi.org/10.1109/ISIT.2010.5513321">10.1109/ISIT.2010.5513321</a></li>
<li>Tan, Vincent Y. F. and Anandkumar, Animashree, el al. (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170922-085233225">Error exponents for composite hypothesis testing of Markov forest distributions</a>; ISBN 978-1-4244-7890-3; 2010 IEEE International Symposium on Information Theory; 1613-1617; <a href="https://doi.org/10.1109/ISIT.2010.5513399">10.1109/ISIT.2010.5513399</a></li>
<li>Anandkumar, Animashree and Yukich, Joseph, el al. (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170922-084526901">Limit laws for random spatial graphical models</a>; ISBN 978-1-4244-7890-3; 2010 IEEE International Symposium on Information Theory; 1728-1732; <a href="https://doi.org/10.1109/ISIT.2010.5513254">10.1109/ISIT.2010.5513254</a></li>
<li>Anandkumar, Amod J. G. and Anandkumar, Animashree, el al. (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170922-084018628">Robust rate-maximization game under bounded channel uncertainty</a>; ISBN 978-1-4244-4295-9; 2010 IEEE International Conference on Acoustics, Speech and Signal Processing; 3158-3161; <a href="https://doi.org/10.1109/ICASSP.2010.5496066">10.1109/ICASSP.2010.5496066</a></li>
<li>Anandkumar, Animashree and Michael, Nithin, el al. (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170922-083321456">Opportunistic Spectrum Access with Multiple Users: Learning under Competition</a>; ISBN 978-1-4244-5836-3; 2010 Proceedings IEEE INFOCOM; 1-9; <a href="https://doi.org/10.1109/INFCOM.2010.5462144">10.1109/INFCOM.2010.5462144</a></li>
<li>Tan, Vincent Y. F. and Anandkumar, Animashree, el al. (2009) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170921-160724769">How do the structure and the parameters of Gaussian tree models affect structure learning?</a>; ISBN 978-1-4244-5870-7; 47th Annual Allerton Conference on Communication, Control, and Computing; 684-691; <a href="https://doi.org/10.1109/ALLERTON.2009.5394929">10.1109/ALLERTON.2009.5394929</a></li>
<li>Tan, Vincent Y. F. and Anandkumar, Animashree, el al. (2009) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170921-154915776">A large-deviation analysis for the maximum likelihood learning of tree structures</a>; ISBN 978-1-4244-4312-3; 2009 IEEE International Symposium on Information Theory; 1140-1144; <a href="https://doi.org/10.1109/ISIT.2009.5206012">10.1109/ISIT.2009.5206012</a></li>
<li>Anandkumar, Animashree and Tong, Lang, el al. (2009) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170921-154140237">Detection error exponent for spatially dependent samples in random networks</a>; ISBN 978-1-4244-4312-3; 2009 IEEE International Symposium on Information Theory; 2882-2886; <a href="https://doi.org/10.1109/ISIT.2009.5205358">10.1109/ISIT.2009.5205358</a></li>
<li>Anandkumar, Animashree and Wang, Meng, el al. (2009) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170921-153522501">Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference</a>; ISBN 978-1-4244-3512-8; 28th IEEE Conference on Computer Communications; 2150-2158; <a href="https://doi.org/10.1109/INFCOM.2009.5062139">10.1109/INFCOM.2009.5062139</a></li>
<li>Ezovski, G. Matthew and Anandkumar, Animashree, el al. (2008) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170810-112107197">Min-min times in peer-to-peer file sharing networks</a>; ISBN 978-1-4244-2925-7; 46th Annual Allerton Conference on Communication, Control, and Computing; 1487-1494; <a href="https://doi.org/10.1109/ALLERTON.2008.4797738">10.1109/ALLERTON.2008.4797738</a></li>
<li>Anandkumar, Animashree and Bisdikian, Chatschik, el al. (2008) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170927-141103230">Tracking in a spaghetti bowl: monitoring transactions using footprints</a>; ISBN 978-1-60558-005-0; Proceedings of the 2008 ACM SIGMETRICS international conference on measurement and modeling of computer systems; 133-144; <a href="https://doi.org/10.1145/1375457.1375473">10.1145/1375457.1375473</a></li>
<li>Sengupta, Bikram and Banerjee, Nilanjan, el al. (2008) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170920-161153053">Non-intrusive transaction monitoring using system logs</a>; ISBN 978-1-4244-2065-0; 2008 IEEE Network Operations and Management Symposium; 879-882; <a href="https://doi.org/10.1109/NOMS.2008.4575237">10.1109/NOMS.2008.4575237</a></li>
<li>Anandkumar, Animashree and Tong, Lang, el al. (2008) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170920-154142664">Minimum Cost Data Aggregation with Localized Processing for Statistical Inference</a>; ISBN 978-1-4244-2025-4; 27th IEEE Conference on Computer Communications; 1454-1462; <a href="https://doi.org/10.1109/INFOCOM.2008.129">10.1109/INFOCOM.2008.129</a></li>
<li>Anandkumar, Animashree and Tong, Lang, el al. (2007) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170920-152542556">Detection of Gauss-Markov Random Field on Nearest-Neighbor Graph</a>; ISBN 1-4244-0727-3; 2007 IEEE International Conference on Acoustics, Speech and Signal Processing; 829-832; <a href="https://doi.org/10.1109/ICASSP.2007.366808">10.1109/ICASSP.2007.366808</a></li>
<li>Anandkumar, Animashree and Tong, Lang, el al. (2007) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170920-153229570">Energy Efficient Routing for Statistical Inference of Markov Random Fields</a>; ISBN 9781424410361; 2007 41st annual conference on information sciences and systems : Baltimore, MD, 14-16 March, 2007.; 643-648; <a href="https://doi.org/10.1109/CISS.2007.4298386">10.1109/CISS.2007.4298386</a></li>
<li>Anandkumar, Animashree and Tong, Lang (2006) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170920-144901114">A Large Deviation Analysis of Detection Over Multi-Access Channels with Random Number of Sensors</a>; ISBN 1-4244-0469-X; 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings; 1097-1100; <a href="https://doi.org/10.1109/ICASSP.2006.1661164">10.1109/ICASSP.2006.1661164</a></li>
<li>Anandkumar, Animashree and Tong, Lang (2006) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170920-145744615">Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels</a>; ISBN 1-4244-0349-9; 2006 40th Annual Conference on Information Sciences and Systems; 38-43; <a href="https://doi.org/10.1109/CISS.2006.286427">10.1109/CISS.2006.286427</a></li>
</ul>