Anandkumar, Animashree

Monograph from CaltechAUTHORS

• Zvyagin, Maxim and Brace, Alexander, et el. (2023) GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics; PMCID PMC9709791; 10.1101/2022.10.10.511571
• Liu, Shikun and Fan, Linxi, et el. (2023) Prismer: A Vision-Language Model with An Ensemble of Experts
• Liu, Shengchao and Nie, Weili, et el. (2023) Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
• Lim, Jae Hyun and Kovachki, Nikola B., et el. (2023) Score-based Diffusion Models in Function Space
• Kocielnik, Rafal and Prabhumoye, Shrimai, et el. (2023) AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models
• Lan, Shiyi and Yang, Xitong, et el. (2023) Vision Transformers Are Good Mask Auto-Labelers
• Li, Yiming and Yu, Zhiding, et el. (2023) VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
• Yang, Zhuolin and Ping, Wei, et el. (2023) Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
• Liu, Shengchao and Zhu, Yutao, et el. (2023) A Text-guided Protein Design Framework
• Liu, Guan-Horng and Vahdat, Arash, et el. (2023) I²SB: Image-to-Image Schrödinger Bridge
• Renn, Peter I and Wang, Cong, et el. (2023) Forecasting subcritical cylinder wakes with Fourier Neural Operators
• Xie, Chulin and Huang, De-An, et el. (2023) PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees
• Wang, Chen and Fan, Linxi, et el. (2023) MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
• Xiao, Junfei and Xu, Zhichao, et el. (2022) 1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation Track; 10.48550/arXiv.2210.12852
• Gu, Jiaqi and Keller, Ben, et el. (2022) HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression; 10.48550/arXiv.2211.16749
• Kurth, Thorsten and Subramanian, Shashank, et el. (2022) FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators; 10.48550/arXiv.2208.05419
• Sedghi, Hanie and Anandkumar, Anima, et el. (2022) Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Noisy Matrix Decomposition; 10.48550/arXiv.1402.5131
• Liu, Mingjie and Yang, Haoyu, et el. (2022) An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design; 10.48550/arXiv.2210.15765
• Cao, Yulong and Xu, Danfei, et el. (2022) Robust Trajectory Prediction against Adversarial Attacks; 10.48550/arXiv.2208.00094
• Cao, Yulong and Xiao, Chaowei, et el. (2022) AdvDO: Realistic Adversarial Attacks for Trajectory Prediction; 10.48550/arXiv.2209.08744
• Jiang, Yunfan and Gupta, Agrim, et el. (2022) VIMA: General Robot Manipulation with Multimodal Prompts; 10.48550/arXiv.2210.03094
• Wang, Zichao and Nie, Weili, et el. (2022) Retrieval-based Controllable Molecule Generation; 10.48550/arXiv.2208.11126
• Jeong, Yoonwoo and Shin, Seungjoo, et el. (2022) PeRFception: Perception using Radiance Fields; 10.48550/arXiv.2208.11537
• Netrapalli, Praneeth and Niranjan, U N, et el. (2022) Non-convex Robust PCA; 10.48550/arXiv.1410.7660
• Shu, Manli and Nie, Weili, et el. (2022) Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models; 10.48550/arXiv.2209.07511
• Huang, De-An and Yu, Zhiding, et el. (2022) MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training; 10.48550/arXiv.2208.02245
• Wen, Gege and Li, Zongyi, et el. (2022) Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators; 10.48550/arXiv.2210.17051
• Xiao, Chaowei and Chen, Zhongzhu, et el. (2022) DensePure: Understanding Diffusion Models towards Adversarial Robustness; 10.48550/arXiv.2211.00322
• Qiao, Zhuoran and Nie, Weili, et el. (2022) Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models; 10.48550/arXiv.2209.15171
• Su, Dan and Patwary, Mostofa, et el. (2022) Context Generation Improves Open Domain Question Answering; 10.48550/arXiv.2210.06349
• Kocielnik, Rafal and Kangaslahti, Sara, et el. (2022) Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions; 10.48550/arXiv.2211.11798
• Sharir, Or and Chan, Garnet Kin-Lic, et el. (2022) Towards Neural Variational Monte Carlo That Scales Linearly with System Size
• Zheng, Hongkai and Nie, Weili, et el. (2022) Fast Sampling of Diffusion Models via Operator Learning; 10.48550/arXiv.2211.13449
• Shi, Yuanyuan and Li, Zongyi, et el. (2022) Machine Learning Accelerated PDE Backstepping Observers; 10.48550/arXiv.2211.15044
• Zhao, Jiawei and George, Robert Joseph, et el. (2022) Incremental Fourier Neural Operator; 10.48550/arXiv.2211.15188
• Maust, Haydn and Li, Zongyi, et el. (2022) Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators; 10.48550/arXiv.2211.15960
• Fan, Linxi and Wang, Guanzhi, et el. (2022) MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge; 10.48550/arXiv.arXiv.2206.08853
• Huang, Kevin and Lale, Sahin, et el. (2022) CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning; 10.48550/arXiv.arXiv.2112.07746
• Yang, Haoyu and Li, Zongyi, et el. (2022) Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training; 10.48550/arXiv.arXiv.2207.04056
• Pathak, Jaideep and Subramanian, Shashank, et el. (2022) FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators; 10.48550/arXiv.arXiv.2202.11214
• Lale, Sahin and Shi, Yuanyuan, et el. (2022) KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems; 10.48550/arXiv.arXiv.2206.01704
• Yang, Haoyu and Li, Zongyi, et el. (2022) Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks; 10.48550/arXiv.arXiv.2203.08616
• Guibas, John and Mardani, Morteza, et el. (2022) Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers; 10.48550/arXiv.arXiv.2111.13587
• Rahman, Md Ashiqur and Florez, Manuel A., et el. (2022) Generative Adversarial Neural Operators; 10.48550/arXiv.arXiv.2205.03017
• Li, Zhiqi and Wang, Wenhai, et el. (2022) Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers; 10.48550/arXiv.2109.03814
• Mahajan, Anuj and Samvelyan, Mikayel, et el. (2022) Reinforcement Learning in Factored Action Spaces using Tensor Decompositions; 10.48550/arXiv.arXiv.2110.14538
• Kiyasseh, Dani and Ma, Runzhuo, et el. (2022) Quantification of Robotic Surgeries with Vision-Based Deep Learning; 10.48550/arXiv.arXiv.2205.03028
• Wong, Josiah and Makoviychuk, Viktor, et el. (2022) OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation; 10.48550/arXiv.arXiv.2110.00704
• Shen, Bokui and Jiang, Zhenyu, et el. (2022) ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation; 10.48550/arXiv.arXiv.2203.06856
• Jiang, Huaizu and Ma, Xiaojian, et el. (2022) Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions; 10.48550/arXiv.arXiv.2205.13803
• Lavin, Alexander and Zenil, Hector, et el. (2022) Simulation Intelligence: Towards a New Generation of Scientific Methods; 10.48550/arXiv.arXiv.2112.03235
• Li, Shuang and Puig, Xavier, et el. (2022) Pre-Trained Language Models for Interactive Decision-Making; 10.48550/arXiv.arXiv.2202.01771
• Li, Zongyi and Huang, Daniel Zhengyu, et el. (2022) Fourier Neural Operator with Learned Deformations for PDEs on General Geometries; 10.48550/arXiv.arXiv.2207.05209
• Prabhumoye, Shrimai and Kocielnik, Rafal, et el. (2022) Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases; 10.48550/arXiv.arXiv.2112.07868
• Wen, Gege and Li, Zongyi, et el. (2022) U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow; 10.48550/arXiv.arXiv.2109.03697
• Ma, Xiaojian and Nie, Weili, et el. (2022) RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning; 10.48550/arXiv.arXiv.2204.11167
• Bharadhwaj, Homanga and Huang, De-An, et el. (2022) Auditing AI models for Verified Deployment under Semantic Specifications; 10.48550/arXiv.2109.12456
• Xie, Enze and Yu, Zhiding, et el. (2022) M²BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation; 10.48550/arXiv.arXiv.2207.05850
• Shi, Yuanyuan and Qu, Guannan, et el. (2022) Stability Constrained Reinforcement Learning for Real-Time Voltage Control; 10.48550/arXiv.2109.14854
• Wang, Xinlong and Yu, Zhiding, et el. (2022) FreeSOLO: Learning to Segment Objects without Annotations; 10.48550/arXiv.arXiv.2202.12181
• Dommer, Abigail and Casalino, Lorenzo, et el. (2021) #COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol; PMCID PMC8609898; 10.1101/2021.11.12.468428
• Ma, Jeffrey and Letcher, Alistair, et el. (2021) Polymatrix Competitive Gradient Descent; 10.48550/arXiv.arXiv.2111.08565
• Li, Zongyi and Zheng, Hongkai, et el. (2021) Physics-Informed Neural Operator for Learning Partial Differential Equations; 10.48550/arXiv.arXiv.2111.03794
• Zhao, Jiawei and Schäfer, Florian, et el. (2021) ZerO Initialization: Initializing Residual Networks with only Zeros and Ones; 10.48550/arXiv.arXiv.2110.12661
• Trifan, Anda and Gorgun, Defne, et el. (2021) Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action; 10.1101/2021.10.09.463779
• Elezi, Ismail and Yu, Zhiding, et el. (2021) Towards Reducing Labeling Cost in Deep Object Detection; 10.48550/arXiv.2106.11921
• Zhu, Chen and Ping, Wei, et el. (2021) Long-Short Transformer: Efficient Transformers for Language and Vision; 10.48550/arXiv.2107.02192
• Kovachki, Nikola and Li, Zongyi, et el. (2021) Neural Operator: Learning Maps Between Function Spaces; 10.48550/arXiv.2108.08481
• Zhao, Jiawei and Dai, Steve, et el. (2021) Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update; 10.48550/arXiv.2106.13914
• Patti, Taylor L. and Kossaifi, Jean, et el. (2021) Nonlinear Quantum Optimization Algorithms via Efficient Ising Model Encodings; 10.48550/arXiv.2106.13304
• Li, Zongyi and Kovachki, Nikola, et el. (2021) Learning Dissipative Dynamics in Chaotic Systems; 10.48550/arXiv.2106.06898
• Xie, Enze and Wang, Wenhai, et el. (2021) SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers; 10.48550/arXiv.2105.15203
• Chen, Wuyang and Yu, Zhiding, et el. (2021) Contrastive Syn-to-Real Generalization; 10.48550/arXiv.2104.02290
• Ghodsi, Zahra and Hari, Siva Kumar Sastry, et el. (2021) Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles; 10.48550/arXiv.2103.07403
• Liu, Anqi and Liu, Hao, et el. (2021) Disentangling Observed Causal Effects from Latent Confounders using Method of Moments; 10.48550/arXiv.2101.06614
• Prajapat, Manish and Azizzadenesheli, Kamyar, et el. (2020) Competitive Policy Optimization; 10.48550/arXiv.2006.10611
• Lale, Sahin and Azizzadenesheli, Kamyar, et el. (2020) Explore More and Improve Regret in Linear Quadratic Regulators; 10.48550/arXiv.2007.12291
• Xu, Peng and Patwary, Mostofa, et el. (2020) MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models; 10.48550/arXiv.2010.00840
• Schäfer, Florian and Anandkumar, Anima, et el. (2020) Competitive Mirror Descent; 10.48550/arXiv.2006.10179
• Li, Zongyi and Kovachki, Nikola, et el. (2020) Fourier Neural Operator for Parametric Partial Differential Equations; 10.48550/arXiv.2010.08895
• Wang, Haoxuan and Liu, Anqi, et el. (2020) Distributionally Robust Learning for Unsupervised Domain Adaptation; 10.48550/arXiv.2010.05784
• Lale, Sahin and Azizzadenesheli, Kamyar, et el. (2020) Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems; 10.48550/arXiv.2003.11227
• Nie, Weili and Karras, Tero, et el. (2020) Semi-Supervised StyleGAN for Disentanglement Learning; 10.48550/arXiv.2003.03461
• Li, Zongyi and Kovachki, Nikola, et el. (2020) Neural Operator: Graph Kernel Network for Partial Differential Equations; 10.48550/arXiv.2003.03485
• Lale, Sahin and Azizzadenesheli, Kamyar, et el. (2020) Regret Minimization in Partially Observable Linear Quadratic Control; 10.48550/arXiv.2002.00082
• Liu, Anqi and Liu, Hao, et el. (2020) Triply Robust Off-Policy Evaluation; 10.48550/arXiv.1911.05811
• Arabshahi, Forough and Lu, Zhichu, et el. (2020) Memory Augmented Recursive Neural Networks; 10.48550/arXiv.1911.01545
• Jain, Shobhit and Bodapati, Sravan Babu, et el. (2020) Multi Sense Embeddings from Topic Models; 10.48550/arXiv.1909.07746
• Nguyen, Tan M. and Garg, Animesh, et el. (2020) InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers; 10.48550/arXiv.1912.03978
• Schäfer, Florian and Zheng, Hongkai, et el. (2020) Implicit competitive regularization in GANs; 10.48550/arXiv.1910.05852
• Liu, Anqi and Srikanth, Maya, et el. (2020) Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates; 10.48550/arXiv.1911.05332
• Zhang, Amy and Lipton, Zachary C., et el. (2019) Learning Causal State Representations of Partially Observable Environments; 10.48550/arXiv.1906.10437
• Kolbeinsson, Arinbjörn and Kossaifi, Jean, et el. (2019) Robust Deep Networks with Randomized Tensor Regression Layers; 10.48550/arXiv.1902.10758
• Liu, Anqi and Shi, Guanya, et el. (2019) Robust Regression for Safe Exploration in Control; 10.48550/arXiv.1906.05819
• Huang, Yujia and Dai, Sihui, et el. (2019) Out-of-Distribution Detection Using Neural Rendering Generative Models; 10.48550/arXiv.1907.04572
• Shi, Yang and Furlanello, Tommaso, et el. (2019) Compact Tensor Pooling for Visual Question Answering; 10.48550/arXiv.1706.06706
• Anandkumar, Anima and Sedghi, Hanie (2019) Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods; 10.48550/arXiv.1503.04567
• Nimmagadda, Tejaswi and Anandkumar, Anima (2019) Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models; 10.48550/arXiv.1505.00308
• Janzamin, Majid and Sedghi, Hanie, et el. (2019) Score Function Features for Discriminative Learning: Matrix and Tensor Framework; 10.48550/arXiv.1412.2863
• Janzamin, Majid and Sedghi, Hanie, et el. (2019) Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods; 10.48550/arXiv.1506.08473
• Anandkumar, Animashree and Jain, Prateek, et el. (2019) Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations; 10.48550/arXiv.1510.04747
• Huang, Furong and Anandkumar, Animashree (2019) Convolutional Dictionary Learning through Tensor Factorization; 10.48550/arXiv.1506.03509
• Gitter, Anthony and Huang, Furong, et el. (2019) Unsupervised learning of transcriptional regulatory networks via latent tree graphical models; 10.48550/arXiv.1609.06335
• Sedghi, Hanie and Anandkumar, Anima (2019) Training Input-Output Recurrent Neural Networks through Spectral Methods; 10.48550/arXiv.1603.00954
• Arabshahi, Forough and Anandkumar, Animashree (2019) Spectral Methods for Correlated Topic Models; 10.48550/arXiv.1605.09080
• Anandkumar, Anima and Ge, Rong (2019) Efficient approaches for escaping higher order saddle points in non-convex optimization; 10.48550/arXiv.1602.05908
• Lale, Sahin and Azizzadenesheli, Kamyar, et el. (2019) Stochastic Linear Bandits with Hidden Low Rank Structure; 10.48550/arXiv.1901.09490
• Ho, Nhat and Nguyen, Tan, et el. (2019) Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning; 10.48550/arXiv.1811.02657
• Azizzadenesheli, Kamyar and Bera, Manish Kumar, et el. (2019) Trust Region Policy Optimization for POMDPs; 10.48550/arXiv.1810.07900
• Azizzadenesheli, Kamyar and Lazaric, Alessandro, et el. (2019) Experimental results: Reinforcement Learning of POMDPs using Spectral Methods; ISBN 9781510838819; 30th Annual Conference on Neural Information Processing Systems 2016 : Barcelona, Spain, 5-10 December 2016; 10.48550/arXiv.1705.02553
• Azizzadenesheli, Kamyar and Lazaric, Alessandro, et el. (2019) Reinforcement Learning in Rich-Observation MDPs using Spectral Methods; 10.48550/arXiv.1611.03907v4
• Kolbeinsson, Arinbjörn and Kossaifi, Jean, et el. (2019) Stochastically Rank-Regularized Tensor Regression Networks; 10.48550/arXiv.1902.10758
• Bernstein, Jeremy and Zhao, Jiawei, et el. (2019) signSGD with Majority Vote is Communication Efficient And Fault Tolerant; 10.48550/arXiv.1810.05291
• Yu, Rose and Zheng, Stephan, et el. (2019) Long-term Forecasting using Tensor-Train RNNs; 10.48550/arXiv.1711.00073
• Anandkumar, Animashree and Chaudhuri, Kamalika, et el. (2011) Spectral Methods for Learning Multivariate Latent Tree Structure; 10.48550/arXiv.1107.1283