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2023

Retrieval-based Controllable Molecule GenerationZichao Wang 0001, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar. iclr 2023: [doi]

Context Generation Improves Open Domain Question AnsweringDan Su 0003, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu 0008, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro. eacl 2023: 781-796 [doi]

Neural Operators for Solving PDEs and Inverse DesignAnima Anandkumar. ispd 2023: 195 [doi]

Spherical Fourier Neural Operators: Learning Stable Dynamics on the SphereBoris Bonev, Thorsten Kurth, Christian Hundt 0002, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar. icml 2023: 2806-2823 [doi]

FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionYilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez 0004. iccv 2023: 8360-8371 [doi]

Spacetime Surface Regularization for Neural Dynamic Scene ReconstructionJaesung Choe, Christopher B. Choy, Jaesik Park, In-So Kweon, Anima Anandkumar. iccv 2023: 17825-17835 [doi]

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosolAbigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang 0019, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas Miller, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro. ijhpca, 37(1):28-44, 2023. [doi]

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense GridsWei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar. cvpr 2023: 4263-4272 [doi]

EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia ClassificationBenyamin Allahgholizadeh Haghi, Lin Ma, Sahin Lale, Anima Anandkumar, Azita Emami. biocas 2023: 1-5 [doi]

Capturing fine-grained details for video-based automation of suturing skills assessmentAndrew J. Hung, Richard Bao, Idris O. Sunmola, De-An Huang, Jessica H. Nguyen, Anima Anandkumar. cars, 18(3):545-552, March 2023. [doi]

VIMA: Robot Manipulation with Multimodal PromptsYunfan Jiang, Agrim Gupta, Zichen Zhang 0011, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei 0001, Anima Anandkumar, Yuke Zhu, Linxi Fan. icml 2023: 14975-15022 [doi]

Thompson Sampling for Partially Observable Linear-Quadratic ControlTaylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi. amcc 2023: 4561-4568 [doi]

Deep Multimodal Fusion for Surgical Feedback ClassificationRafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung. ml4h 2023: 256-267 [doi]

Neural Operator: Learning Maps Between Function Spaces With Applications to PDEsNikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar. jmlr, 24, 2023. [doi]

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural OperatorsThorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Anima Anandkumar. pasc 2023: [doi]

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time SystemsSahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar. cdc 2023: 1334-1341 [doi]

Vision Transformers are Good Mask Auto-LabelersShiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez 0004, Anima Anandkumar. cvpr 2023: 23745-23755 [doi]

FB-BEV: BEV Representation from Forward-Backward View TransformationsZhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez 0004. iccv 2023: 6896-6905 [doi]

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene CompletionYiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez 0004, Sanja Fidler, Chen Feng 0002, Anima Anandkumar. cvpr 2023: 9087-9098 [doi]

End-to-end 3D Tracking with Decoupled QueriesYanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez. iccv 2023: 18256-18265 [doi]

2SB: Image-to-Image Schrödinger BridgeGuan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar. icml 2023: 22042-22062 [doi]

Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude ConstraintsTaylor L. Patti, Jean Kossaifi, Anima Anandkumar, Susanne F. Yelin. quantum, 7:1057, July 2023. [doi]

MimicPlay: Long-Horizon Imitation Learning by Watching Human PlayChen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei 0001, Danfei Xu, Yuke Zhu, Anima Anandkumar. corl 2023: 201-221 [doi]

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive StudyBoxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro. emnlp 2023: 7763-7786 [doi]

DensePure: Understanding Diffusion Models for Adversarial RobustnessChaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li 0026, Dawn Song. iclr 2023: [doi]

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image CaptioningZhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu 0001, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar. emnlp 2023: 11844-11857 [doi]

Fully Attentional Networks with Self-emerging Token LabelingBingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez 0004. iccv 2023: 5562-5572 [doi]

Fast Sampling of Diffusion Models via Operator LearningHongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar. icml 2023: 42390-42402 [doi]

2022

ScaDL 2022 Invited Talk 3: Million-x speedups through convergence of AI and HPCAnima Anandkumar. ipps 2022: 1041 [doi]

AdvDO: Realistic Adversarial Attacks for Trajectory PredictionYulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone. eccv 2022: 36-52 [doi]

Robust Trajectory Prediction against Adversarial AttacksYulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone 0001. corl 2023: 128-137 [doi]

Augmenting Deep Classifiers with Polynomial Neural NetworksGrigorios G. Chrysos, Markos Georgopoulos, Jiankang deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar. eccv 2022: 692-716 [doi]

Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object DetectionIsmail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez. cvpr 2022: 14472-14481 [doi]

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgeLinxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar. nips 2022: [doi]

Efficient Token Mixing for Transformers via Adaptive Fourier Neural OperatorsJohn Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro. iclr 2022: [doi]

MinVIS: A Minimal Video Instance Segmentation Framework without Video-based TrainingDe-An Huang, Zhiding Yu, Anima Anandkumar. nips 2022: [doi]

PeRFception: Perception using Radiance FieldsYoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Anima Anandkumar, Minsu Cho, Jaesik Park. nips 2022: [doi]

Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object InteractionsHuaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar. cvpr 2022: 19034-19043 [doi]

Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed BanditsTianyuan Jin, Pan Xu 0002, Xiaokui Xiao, Anima Anandkumar. nips 2022: [doi]

Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot InstructionsRafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, R. Michael Alvarez, Anima Anandkumar. tl4nlp 2022: 22-32 [doi]

Learning Chaotic Dynamics in Dissipative SystemsZongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar. nips 2022: [doi]

Pre-Trained Language Models for Interactive Decision-MakingShuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen 0046, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba 0001, Yuke Zhu. nips 2022: [doi]

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with TransformersZhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo, Tong Lu. cvpr 2022: 1270-1279 [doi]

RelViT: Concept-guided Vision Transformer for Visual Relational ReasoningXiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song Chun Zhu, Anima Anandkumar. iclr 2022: [doi]

Neural-Fly enables rapid learning for agile flight in strong windsMichael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon Jo Chung. scirobotics, 7(66), 2022. [doi]

Generative Adversarial Neural OperatorsMd Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli. tmlr, 2022, 2022. [doi]

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object ManipulationBokui Shen, Zhenyu Jiang 0002, Christopher B. Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu. rss 2022: [doi]

Stability Constrained Reinforcement Learning for Real-Time Voltage ControlYuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman. amcc 2022: 2715-2721 [doi]

Machine Learning Accelerated PDE Backstepping ObserversYuanyuan Shi, Zongyi Li, Huan Yu, Drew Steeves, Anima Anandkumar, Miroslav Krstic. cdc 2022: 5423-5428 [doi]

Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language ModelsManli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao. nips 2022: [doi]

FreeSOLO: Learning to Segment Objects without AnnotationsXinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez. cvpr 2022: 14156-14166 [doi]

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language ModelsBoxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro. nips 2022: [doi]

OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot ManipulationJosiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu. icra 2022: 10519-10526 [doi]

Generic lithography modeling with dual-band optics-inspired neural networksHaoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren. dac 2022: 973-978 [doi]

ZerO Initialization: Initializing Neural Networks with only Zeros and OnesJiawei Zhao, Florian Schäfer, Anima Anandkumar. tmlr, 2022, 2022. [doi]

LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight UpdateJiawei Zhao, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Mustafa Fayez Ali, Ming-Yu Liu 0001, Brucek Khailany, William J. Dally, Anima Anandkumar. TC, 71(12):3179-3190, 2022. [doi]

2021

Contrastive Syn-to-Real GeneralizationWuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar. iclr 2021: [doi]

Unsupervised Controllable Generation with Self-TrainingGrigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar. ijcnn 2021: 1-8 [doi]

Generating and Characterizing Scenarios for Safety Testing of Autonomous VehiclesZahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai 0002, Alejandro Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar. ivs 2021: 157-164 [doi]

Training Certifiably Robust Neural Networks with Efficient Local Lipschitz BoundsYujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar. nips 2021: 22745-22757 [doi]

Stability and Identification of Random Asynchronous Linear Time-Invariant SystemsSahin Lale, Oguzhan Teke, Babak Hassibi, Anima Anandkumar. l4dc 2021: 651-663 [doi]

Model Learning Predictive Control in Nonlinear Dynamical SystemsSahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar. cdc 2021: 757-762 [doi]

Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) SettingSahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar. amcc 2021: 2517-2522 [doi]

Finite-time System Identification and Adaptive Control in Autoregressive Exogenous SystemsSahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar. l4dc 2021: 967-979 [doi]

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box SupervisionShiyi Lan, Zhiding Yu, Christopher B. Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar. iccv 2021: 3386-3396 [doi]

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State RegularizationYoungwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu. corl 2021: 406-416 [doi]

Fourier Neural Operator for Parametric Partial Differential EquationsZongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar. iclr 2021: [doi]

Coach-Player Multi-agent Reinforcement Learning for Dynamic Team CompositionBo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar. icml 2021: 6860-6870 [doi]

ADVM'21: 1st International Workshop on Adversarial Learning for MultimediaAishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar. mm 2021: 5686-5687 [doi]

Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear SystemsYashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon Jo Chung. ral, 6(1):389-396, 2021. [doi]

Controllable and Compositional Generation with Latent-Space Energy-Based ModelsWeili Nie, Arash Vahdat, Anima Anandkumar. nips 2021: 13497-13510 [doi]

Tensor Methods in Computer Vision and Deep LearningYannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield 0001, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou. pieee, 109(5):863-890, 2021. [doi]

Competitive policy optimizationManish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar. uai 2021: 64-74 [doi]

Stable Online Control of Linear Time-Varying SystemsGuannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman. l4dc 2021: 742-753 [doi]

Dynamic Social Media Monitoring for Fast-Evolving Online DiscussionsMaya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar. kdd 2021: 3576-3584 [doi]

Adversarially Robust 3D Point Cloud Recognition Using Self-SupervisionsJiachen Sun, Yulong Cao, Christopher B. Choy, Zhiding Yu, Anima Anandkumar, Zhuoqing Morley Mao, Chaowei Xiao. nips 2021: 15498-15512 [doi]

AugMax: Adversarial Composition of Random Augmentations for Robust TrainingHaotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang. nips 2021: 237-250 [doi]

SegFormer: Simple and Efficient Design for Semantic Segmentation with TransformersEnze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo 0002. nips 2021: 12077-12090 [doi]

Coupled Segmentation and Edge Learning via Dynamic Graph PropagationZhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas M. Breuel, Anima Anandkumar, Jan Kautz. nips 2021: 4919-4932 [doi]

Long-Short Transformer: Efficient Transformers for Language and VisionChen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro. nips 2021: 17723-17736 [doi]

2020

Learning compositional functions via multiplicative weight updatesJeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu 0001, Anima Anandkumar, Yisong Yue. nips 2020: [doi]

Learning a Contact-Adaptive Controller for Robust, Efficient Legged LocomotionXingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg. corl 2020: 883-894 [doi]

Neural Networks with Recurrent Generative FeedbackYujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan M. Nguyen, Doris Y. Tsao, Anima Anandkumar. nips 2020: [doi]

MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution frameworkChiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar. sc 2020: 9 [doi]

Tensor Regression NetworksJean Kossaifi, Zachary C. Lipton, Arinbjörn Kolbeinsson, Aran Khanna, Tommaso Furlanello, Anima Anandkumar. jmlr, 21, 2020. [doi]

Logarithmic Regret Bound in Partially Observable Linear Dynamical SystemsSahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar. nips 2020: [doi]

Causal Discovery in Physical Systems from VideosYunzhu Li, Antonio Torralba 0001, Anima Anandkumar, Dieter Fox, Animesh Garg. nips 2020: [doi]

Multipole Graph Neural Operator for Parametric Partial Differential EquationsZongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew M. Stuart, Kaushik Bhattacharya, Anima Anandkumar. nips 2020: [doi]

Robust Regression for Safe Exploration in ControlAnqi Liu, Guanya Shi, Soon Jo Chung, Anima Anandkumar, Yisong Yue. l4dc 2020: 608-619 [doi]

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and ReasoningWeili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Anima Anandkumar. nips 2020: [doi]

Convolutional Tensor-Train LSTM for Spatio-Temporal LearningJiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar. nips 2020: [doi]

MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language ModelsPeng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro. emnlp 2020: 2831-2845 [doi]

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