Liu, Shikun; Fan, Linxi et al. (2023) Prismer: A Vision-Language Model with An Ensemble of Experts arXiv;

Wang, Chen; Fan, Linxi et al. (2023) MimicPlay: Long-Horizon Imitation Learning by Watching Human Play arXiv;

Li, Yiming; Yu, Zhiding et al. (2023) VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion arXiv;

Kocielnik, Rafal; Prabhumoye, Shrimai et al. (2023) AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models arXiv;

Lim, Jae Hyun; Kovachki, Nikola B. et al. (2023) Score-based Diffusion Models in Function Space arXiv;

Xie, Chulin; Huang, De-An et al. (2023) PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees arXiv;

Liu, Guan-Horng; Vahdat, Arash et al. (2023) I²SB: Image-to-Image Schrödinger Bridge arXiv;

Liu, Shengchao; Zhu, Yutao et al. (2023) A Text-guided Protein Design Framework arXiv;

Yang, Zhuolin; Ping, Wei et al. (2023) Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning arXiv;

Renn, Peter I; Wang, Cong et al. (2023) Forecasting subcritical cylinder wakes with Fourier Neural Operators arXiv;

Lan, Shiyi; Yang, Xitong et al. (2023) Vision Transformers Are Good Mask Auto-Labelers arXiv;

Liu, Shengchao; Nie, Weili et al. (2022) Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing arXiv;

Sharir, Or; Chan, Garnet Kin-Lic et al. (2022) Towards Neural Variational Monte Carlo That Scales Linearly with System Size arXiv;

Gu, Jiaqi; Keller, Ben et al. (2022) HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression arXiv;

Maust, Haydn; Li, Zongyi et al. (2022) Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators arXiv;

Zhao, Jiawei; George, Robert Joseph et al. (2022) Incremental Fourier Neural Operator arXiv;

Shi, Yuanyuan; Li, Zongyi et al. (2022) Machine Learning Accelerated PDE Backstepping Observers arXiv;

Zheng, Hongkai; Nie, Weili et al. (2022) Fast Sampling of Diffusion Models via Operator Learning arXiv;

Kocielnik, Rafal; Kangaslahti, Sara et al. (2022) Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions arXiv;

Xiao, Chaowei; Chen, Zhongzhu et al. (2022) DensePure: Understanding Diffusion Models towards Adversarial Robustness arXiv;

Wen, Gege; Li, Zongyi et al. (2022) Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators arXiv;

Liu, Mingjie; Yang, Haoyu et al. (2022) An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design arXiv;

Xiao, Junfei; Xu, Zhichao et al. (2022) 1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation Track arXiv;

Su, Dan; Patwary, Mostofa et al. (2022) Context Generation Improves Open Domain Question Answering arXiv;

Zvyagin, Maxim; Brace, Alexander et al. (2022) GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics

Jiang, Yunfan; Gupta, Agrim et al. (2022) VIMA: General Robot Manipulation with Multimodal Prompts arXiv;

Qiao, Zhuoran; Nie, Weili et al. (2022) Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models arXiv;

Cao, Yulong; Xiao, Chaowei et al. (2022) AdvDO: Realistic Adversarial Attacks for Trajectory Prediction arXiv;

Shu, Manli; Nie, Weili et al. (2022) Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models arXiv;

Jeong, Yoonwoo; Shin, Seungjoo et al. (2022) PeRFception: Perception using Radiance Fields arXiv;

Wang, Zichao; Nie, Weili et al. (2022) Retrieval-based Controllable Molecule Generation arXiv;

Kurth, Thorsten; Subramanian, Shashank et al. (2022) FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators arXiv;

Huang, De-An; Yu, Zhiding et al. (2022) MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training arXiv;

Cao, Yulong; Xu, Danfei et al. (2022) Robust Trajectory Prediction against Adversarial Attacks arXiv;

Li, Zongyi; Huang, Daniel Zhengyu et al. (2022) Fourier Neural Operator with Learned Deformations for PDEs on General Geometries arXiv;

Yang, Haoyu; Li, Zongyi et al. (2022) Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training arXiv;

Fan, Linxi; Wang, Guanzhi et al. (2022) MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge arXiv;

Lale, Sahin; Shi, Yuanyuan et al. (2022) KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems arXiv;

Jiang, Huaizu; Ma, Xiaojian et al. (2022) Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions arXiv;

Rahman, Md Ashiqur; Florez, Manuel A. et al. (2022) Generative Adversarial Neural Operators arXiv;

Kiyasseh, Dani; Ma, Runzhuo et al. (2022) Quantification of Robotic Surgeries with Vision-Based Deep Learning arXiv;

Ma, Xiaojian; Nie, Weili et al. (2022) RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning arXiv;

Xie, Enze; Yu, Zhiding et al. (2022) M²BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation arXiv;

Shen, Bokui; Jiang, Zhenyu et al. (2022) ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation

Yang, Haoyu; Li, Zongyi et al. (2022) Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks arXiv;

Wang, Xinlong; Yu, Zhiding et al. (2022) FreeSOLO: Learning to Segment Objects without Annotations arXiv;

Pathak, Jaideep; Subramanian, Shashank et al. (2022) FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators arXiv;

Li, Shuang; Puig, Xavier et al. (2022) Pre-Trained Language Models for Interactive Decision-Making arXiv;

Prabhumoye, Shrimai; Kocielnik, Rafal et al. (2021) Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases arXiv;

Huang, Kevin; Lale, Sahin et al. (2021) CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning arXiv;

Lavin, Alexander; Zenil, Hector et al. (2021) Simulation Intelligence: Towards a New Generation of Scientific Methods arXiv;

Guibas, John; Mardani, Morteza et al. (2021) Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers arXiv;

Dommer, Abigail; Casalino, Lorenzo et al. (2021) #COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol

Ma, Jeffrey; Letcher, Alistair et al. (2021) Polymatrix Competitive Gradient Descent arXiv;

Li, Zongyi; Zheng, Hongkai et al. (2021) Physics-Informed Neural Operator for Learning Partial Differential Equations arXiv;

Mahajan, Anuj; Samvelyan, Mikayel et al. (2021) Reinforcement Learning in Factored Action Spaces using Tensor Decompositions Second Workshop on Quantum Tensor Networks in Machine Learning, 14 December 2021 , Sydney, Australia

Zhao, Jiawei; Schäfer, Florian et al. (2021) ZerO Initialization: Initializing Residual Networks with only Zeros and Ones arXiv;

Trifan, Anda; Gorgun, Defne et al. (2021) Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action

Wong, Josiah; Makoviychuk, Viktor et al. (2021) OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation arXiv;

Shi, Yuanyuan; Qu, Guannan et al. (2021) Stability Constrained Reinforcement Learning for Real-Time Voltage Control arXiv;

Bharadhwaj, Homanga; Huang, De-An et al. (2021) Auditing AI models for Verified Deployment under Semantic Specifications arXiv;

Li, Zhiqi; Wang, Wenhai et al. (2021) Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers arXiv;

Wen, Gege; Li, Zongyi et al. (2021) U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow arXiv;

Kovachki, Nikola; Li, Zongyi et al. (2021) Neural Operator: Learning Maps Between Function Spaces arXiv;

Zhu, Chen; Ping, Wei et al. (2021) Long-Short Transformer: Efficient Transformers for Language and Vision arXiv;

Zhao, Jiawei; Dai, Steve et al. (2021) Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update arXiv;

Patti, Taylor L.; Kossaifi, Jean et al. (2021) Nonlinear Quantum Optimization Algorithms via Efficient Ising Model Encodings arXiv;

Elezi, Ismail; Yu, Zhiding et al. (2021) Towards Reducing Labeling Cost in Deep Object Detection arXiv;

Li, Zongyi; Kovachki, Nikola et al. (2021) Learning Dissipative Dynamics in Chaotic Systems arXiv;

Xie, Enze; Wang, Wenhai et al. (2021) SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv;

Chen, Wuyang; Yu, Zhiding et al. (2021) Contrastive Syn-to-Real Generalization arXiv;

Ghodsi, Zahra; Hari, Siva Kumar Sastry et al. (2021) Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles arXiv;

Liu, Anqi; Liu, Hao et al. (2021) Disentangling Observed Causal Effects from Latent Confounders using Method of Moments arXiv;

Li, Zongyi; Kovachki, Nikola et al. (2020) Fourier Neural Operator for Parametric Partial Differential Equations arXiv;

Wang, Haoxuan; Liu, Anqi et al. (2020) Distributionally Robust Learning for Unsupervised Domain Adaptation arXiv;

Xu, Peng; Patwary, Mostofa et al. (2020) MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models arXiv;

Lale, Sahin; Azizzadenesheli, Kamyar et al. (2020) Explore More and Improve Regret in Linear Quadratic Regulators arXiv;

Prajapat, Manish; Azizzadenesheli, Kamyar et al. (2020) Competitive Policy Optimization arXiv;

Schäfer, Florian; Anandkumar, Anima et al. (2020) Competitive Mirror Descent arXiv;

Lale, Sahin; Azizzadenesheli, Kamyar et al. (2020) Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems arXiv;

Li, Zongyi; Kovachki, Nikola et al. (2020) Neural Operator: Graph Kernel Network for Partial Differential Equations arXiv;

Nie, Weili; Karras, Tero et al. (2020) Semi-Supervised StyleGAN for Disentanglement Learning arXiv;

Lale, Sahin; Azizzadenesheli, Kamyar et al. (2020) Regret Minimization in Partially Observable Linear Quadratic Control arXiv;

Nguyen, Tan M.; Garg, Animesh et al. (2019) InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers arXiv;

Liu, Anqi; Srikanth, Maya et al. (2019) Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates arXiv; AI for Social Good workshop at NeurIPS, 14 December 2019 , Vancouver, Canada

Liu, Anqi; Liu, Hao et al. (2019) Triply Robust Off-Policy Evaluation arXiv;

Arabshahi, Forough; Lu, Zhichu et al. (2019) Memory Augmented Recursive Neural Networks arXiv;

Schäfer, Florian; Zheng, Hongkai et al. (2019) Implicit competitive regularization in GANs arXiv;

Jain, Shobhit; Bodapati, Sravan Babu et al. (2019) Multi Sense Embeddings from Topic Models YEAR; Vol. 74; 3rd International Conference on Natural Language and Speech Processing, 12-13 September 2019 , Trento, Italy

Huang, Yujia; Dai, Sihui et al. (2019) Out-of-Distribution Detection Using Neural Rendering Generative Models arXiv;

Zhang, Amy; Lipton, Zachary C. et al. (2019) Learning Causal State Representations of Partially Observable Environments arXiv;

Liu, Anqi; Shi, Guanya et al. (2019) Robust Regression for Safe Exploration in Control arXiv;

Kolbeinsson, Arinbjörn; Kossaifi, Jean et al. (2019) Robust Deep Networks with Randomized Tensor Regression Layers arXiv;

Kolbeinsson, Arinbjörn; Kossaifi, Jean et al. (2019) Stochastically Rank-Regularized Tensor Regression Networks arXiv;

Lale, Sahin; Azizzadenesheli, Kamyar et al. (2019) Stochastic Linear Bandits with Hidden Low Rank Structure arXiv;

Ho, Nhat; Nguyen, Tan et al. (2018) Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning arXiv;

Azizzadenesheli, Kamyar; Bera, Manish Kumar et al. (2018) Trust Region Policy Optimization for POMDPs

Bernstein, Jeremy; Zhao, Jiawei et al. (2018) signSGD with Majority Vote is Communication Efficient And Fault Tolerant arXiv;

Yu, Rose; Zheng, Stephan et al. (2017) Long-term Forecasting using Tensor-Train RNNs arXiv; (Submitted)

Shi, Yang; Furlanello, Tommaso et al. (2017) Compact Tensor Pooling for Visual Question Answering arXiv;

Azizzadenesheli, Kamyar; Lazaric, Alessandro et al. (2017) Experimental results: Reinforcement Learning of POMDPs using Spectral Methods 30th Annual Conference on Neural Information Processing Systems 2016 : Barcelona, Spain, 5-10 December 2016;

Azizzadenesheli, Kamyar; Lazaric, Alessandro et al. (2016) Reinforcement Learning in Rich-Observation MDPs using Spectral Methods arXiv;

Gitter, Anthony; Huang, Furong et al. (2016) Unsupervised learning of transcriptional regulatory networks via latent tree graphical models arXiv;

Arabshahi, Forough; Anandkumar, Animashree (2016) Spectral Methods for Correlated Topic Models arXiv;

Sedghi, Hanie; Anandkumar, Anima (2016) Training Input-Output Recurrent Neural Networks through Spectral Methods arXiv;

Anandkumar, Anima; Ge, Rong (2016) Efficient approaches for escaping higher order saddle points in non-convex optimization arXiv;

Anandkumar, Animashree; Jain, Prateek et al. (2015) Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations arXiv;

Janzamin, Majid; Sedghi, Hanie et al. (2015) Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods arXiv;

Huang, Furong; Anandkumar, Animashree (2015) Convolutional Dictionary Learning through Tensor Factorization arXiv;

Nimmagadda, Tejaswi; Anandkumar, Anima (2015) Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models arXiv;

Anandkumar, Anima; Sedghi, Hanie (2015) Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods arXiv;

Janzamin, Majid; Sedghi, Hanie et al. (2014) Score Function Features for Discriminative Learning: Matrix and Tensor Framework arXiv;

Netrapalli, Praneeth; Niranjan, U N et al. (2014) Non-convex Robust PCA arXiv;

Sedghi, Hanie; Anandkumar, Anima et al. (2014) Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Noisy Matrix Decomposition arXiv;

Anandkumar, Animashree; Chaudhuri, Kamalika et al. (2011) Spectral Methods for Learning Multivariate Latent Tree Structure arXiv;