Animashree Anandkumar
Identifiers
- name variant Animashree Anandkumar 0.60 · backfill
Papers (49)
- FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators physics.ao-ph · 2022 · author #13
- Question Type Guided Attention in Visual Question Answering cs.CV · 2018 · author #4
- Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs cs.LG · 2018 · author #3
- Deep Active Learning for Named Entity Recognition cs.CL · 2017 · author #5
- Experimental results : Reinforcement Learning of POMDPs using Spectral Methods cs.AI · 2017 · author #3
- Reinforcement Learning in Rich-Observation MDPs using Spectral Methods cs.AI · 2016 · author #3
- Unsupervised learning of transcriptional regulatory networks via latent tree graphical models q-bio.MN · 2016 · author #5
- Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies cs.AI · 2016 · author #3
- Online and Differentially-Private Tensor Decomposition stat.ML · 2016 · author #2
- Tensor Contractions with Extended BLAS Kernels on CPU and GPU cs.DC · 2016 · author #3
- Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition cs.CL · 2016 · author #2
- Spectral Methods for Correlated Topic Models cs.LG · 2016 · author #2
- Reinforcement Learning of POMDPs using Spectral Methods cs.AI · 2016 · author #3
- Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model q-bio.NC · 2016 · author #2
- Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations cs.LG · 2015 · author #1
- Fast and Guaranteed Tensor Decomposition via Sketching stat.ML · 2015 · author #4
- Convolutional Dictionary Learning through Tensor Factorization cs.LG · 2015 · author #2
- Are you going to the party: depends, who else is coming? [Learning hidden group dynamics via conditional latent tree models] cs.SI · 2014 · author #3
- Non-convex Robust PCA cs.IT · 2014 · author #4
- Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods cs.LG · 2014 · author #1
- Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$ Updates cs.LG · 2014 · author #1
- Nonparametric Estimation of Multi-View Latent Variable Models cs.LG · 2013 · author #2
- Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization cs.LG · 2013 · author #2
- A Clustering Approach to Learn Sparsely-Used Overcomplete Dictionaries stat.ML · 2013 · author #2
- Online Tensor Methods for Learning Latent Variable Models cs.LG · 2013 · author #4
- When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity cs.LG · 2013 · author #1
- Active Learning of Multiple Source Multiple Destination Topologies cs.NI · 2012 · author #3
- High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models stat.ML · 2012 · author #2
- Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints stat.ML · 2012 · author #1
- A Spectral Algorithm for Latent Dirichlet Allocation cs.LG · 2012 · author #1
- Learning loopy graphical models with latent variables: Efficient methods and guarantees stat.ML · 2012 · author #1
- A Method of Moments for Mixture Models and Hidden Markov Models cs.LG · 2012 · author #1
- High-dimensional structure estimation in Ising models: Local separation criterion stat.ML · 2011 · author #1
- Spectral Methods for Learning Multivariate Latent Tree Structure cs.LG · 2011 · author #1
- High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion cs.LG · 2011 · author #1
- Feedback Message Passing for Inference in Gaussian Graphical Models stat.ML · 2011 · author #3
- Summary Based Structures with Improved Sublinear Recovery for Compressed Sensing cs.IT · 2011 · author #3
- Topology Discovery of Sparse Random Graphs With Few Participants cs.SI · 2011 · author #1
- Energy-Latency Tradeoff for In-Network Function Computation in Random Networks cs.NI · 2011 · author #3
- Robust Rate-Maximization Game Under Bounded Channel Uncertainty cs.IT · 2010 · author #2
- High Dimensional Structure Learning of Ising Models on Sparse Random Graphs math.ST · 2010 · author #1
- Learning Latent Tree Graphical Models stat.ML · 2010 · author #3
- Seeing Through Black Boxes : Tracking Transactions through Queues under Monitoring Resource Constraints cs.PF · 2010 · author #1
- Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret cs.NI · 2010 · author #1
- Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates cs.IT · 2010 · author #2
- Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures stat.ML · 2009 · author #2
- A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures stat.ML · 2009 · author #2
- Energy Scaling Laws for Distributed Inference in Random Fusion Networks cs.IT · 2008 · author #1
- Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency cs.IT · 2007 · author #1
Mentions
- 1311.3287 #2 · backfill · confidence 0.70 Animashree Anandkumar
- 1310.7991 #2 · backfill · confidence 0.70 Animashree Anandkumar
- 1309.1952 #2 · backfill · confidence 0.70 Animashree Anandkumar
- 1309.0787 #4 · backfill · confidence 0.70 Animashree Anandkumar
- 1308.2853 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1212.2310 #3 · backfill · confidence 0.70 Animashree Anandkumar
- 1211.0919 #2 · backfill · confidence 0.70 Animashree Anandkumar
- 1209.5350 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1204.6703 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1203.3887 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1203.0683 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1107.1736 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1107.1283 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1107.1270 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1105.1853 #3 · backfill · confidence 0.70 Animashree Anandkumar
- 1102.5462 #3 · backfill · confidence 0.70 Animashree Anandkumar
- 1102.5063 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1101.0858 #3 · backfill · confidence 0.70 Animashree Anandkumar
- 1011.1566 #2 · backfill · confidence 0.70 Animashree Anandkumar
- 1011.0129 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1009.2722 #3 · backfill · confidence 0.70 Animashree Anandkumar
- 1006.1674 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1006.1673 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 1005.0766 #2 · backfill · confidence 0.70 Animashree Anandkumar
- 0909.5216 #2 · backfill · confidence 0.70 Animashree Anandkumar
- 0905.0940 #2 · backfill · confidence 0.70 Animashree Anandkumar
- 0809.0686 #1 · backfill · confidence 0.70 Animashree Anandkumar
- 0706.1588 #1 · backfill · confidence 0.70 Animashree Anandkumar
Frequent Coauthors
- Furong Huang 7 shared papers
- Alan S. Willsky 6 shared papers
- Vincent Y. F. Tan 6 shared papers
- Daniel Hsu 5 shared papers
- Kamyar Azizzadenesheli 5 shared papers
- Alessandro Lazaric 4 shared papers
- Majid Janzamin 4 shared papers
- Sham M. Kakade 4 shared papers
- Ananthram Swami 3 shared papers
- Forough Arabshahi 3 shared papers
- Lang Tong 3 shared papers
- Praneeth Netrapalli 3 shared papers
- Prateek Jain 3 shared papers
- U. N. Niranjan 3 shared papers
- Yang Shi 3 shared papers
- Alan Willsky 2 shared papers
- Alekh Agarwal 2 shared papers
- Ernest Fraenkel 2 shared papers
- Le Song 2 shared papers
- Ragupathyraj Valluvan 2 shared papers