More from the Same Authors

• 2022 Poster: MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training »
  De-An Huang · Zhiding Yu · Anima Anandkumar
• 2022 : Can you label less by using out-of-domain data? Active & Transfer Learning with Few-shot Instructions »
  Rafal Kocielnik · Sara Kangaslahti · Shrimai Prabhumoye · Meena Hari · Michael Alvarez · Anima Anandkumar
• 2022 : ZerO Initialization: Initializing Neural Networks with only Zeros and Ones »
  Jiawei Zhao · Florian Schaefer · Anima Anandkumar
• 2022 : Retrieval-based Controllable Molecule Generation »
  Jack Wang · Weili Nie · Zhuoran Qiao · Chaowei Xiao · Richard Baraniuk · Anima Anandkumar
• 2022 : Towards Neural Variational Monte Carlo That Scales Linearly with System Size »
  Or Sharir · Garnet Chan · Anima Anandkumar
• 2022 : Incremental Fourier Neural Operator »
  Jiawei Zhao · Robert Joseph George · Yifei Zhang · Zongyi Li · Anima Anandkumar
• 2022 : FALCON: Fourier Adaptive Learning and Control for Disturbance Rejection Under Extreme Turbulence »
  Sahin Lale · Peter Renn · Kamyar Azizzadenesheli · Babak Hassibi · Morteza Gharib · Anima Anandkumar
• 2022 : Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators »
  Haydn Maust · Zongyi Li · Yixuan Wang · Anima Anandkumar
• 2022 : MoleculeCLIP: Learning Transferable Molecule Multi-Modality Models via Natural Language »
  Shengchao Liu · Weili Nie · Chengpeng Wang · Jiarui Lu · Zhuoran Qiao · Ling Liu · Jian Tang · Anima Anandkumar · Chaowei Xiao
• 2022 : Fourier Neural Operator for Plasma Modelling »
  Vignesh Gopakumar · Stanislas Pamela · Lorenzo Zanisi · Zongyi Li · Anima Anandkumar
• 2022 : VIMA: General Robot Manipulation with Multimodal Prompts »
  Yunfan Jiang · Agrim Gupta · Zichen Zhang · Guanzhi Wang · Yongqiang Dou · Yanjun Chen · Fei-Fei Li · Anima Anandkumar · Yuke Zhu · Linxi Fan
• 2022 : Fast Sampling of Diffusion Models via Operator Learning »
  Hongkai Zheng · Weili Nie · Arash Vahdat · Kamyar Azizzadenesheli · Anima Anandkumar
• 2022 : DensePure: Understanding Diffusion Models towards Adversarial Robustness »
  Zhongzhu Chen · Kun Jin · Jiongxiao Wang · Weili Nie · Mingyan Liu · Anima Anandkumar · Bo Li · Dawn Song
• 2022 : HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression »
  Jiaqi Gu · Ben Keller · Jean Kossaifi · Anima Anandkumar · Brucek Khailany · David Pan
• 2022 : Contributed Talk: DensePure: Understanding Diffusion Models towards Adversarial Robustness »
  Zhongzhu Chen · Kun Jin · Jiongxiao Wang · Weili Nie · Mingyan Liu · Anima Anandkumar · Bo Li · Dawn Song
• 2022 Workshop: Trustworthy and Socially Responsible Machine Learning »
  Huan Zhang · Linyi Li · Chaowei Xiao · J. Zico Kolter · Anima Anandkumar · Bo Li
• 2022 : HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression »
  Jiaqi Gu · Ben Keller · Jean Kossaifi · Anima Anandkumar · Brucek Khailany · David Pan
• 2022 Workshop: Machine Learning and the Physical Sciences »
  Atilim Gunes Baydin · Adji Bousso Dieng · Emine Kucukbenli · Gilles Louppe · Siddharth Mishra-Sharma · Benjamin Nachman · Brian Nord · Savannah Thais · Anima Anandkumar · Kyle Cranmer · Lenka Zdeborová · Rianne van den Berg
• 2022 Workshop: AI for Science: Progress and Promises »
  Yi Ding · Yuanqi Du · Tianfan Fu · Hanchen Wang · Anima Anandkumar · Yoshua Bengio · Anthony Gitter · Carla Gomes · Aviv Regev · Max Welling · Marinka Zitnik
• 2022 Poster: Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models »
  Manli Shu · Weili Nie · De-An Huang · Zhiding Yu · Tom Goldstein · Anima Anandkumar · Chaowei Xiao
• 2022 Poster: PeRFception: Perception using Radiance Fields »
  Yoonwoo Jeong · Seungjoo Shin · Junha Lee · Chris Choy · Anima Anandkumar · Minsu Cho · Jaesik Park
• 2022 Poster: Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits »
  Tianyuan Jin · Pan Xu · Xiaokui Xiao · Anima Anandkumar
• 2022 Poster: Learning Chaotic Dynamics in Dissipative Systems »
  Zongyi Li · Miguel Liu-Schiaffini · Nikola Kovachki · Kamyar Azizzadenesheli · Burigede Liu · Kaushik Bhattacharya · Andrew Stuart · Anima Anandkumar
• 2022 Poster: Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models »
  Boxin Wang · Wei Ping · Chaowei Xiao · Peng Xu · Mostofa Patwary · Mohammad Shoeybi · Bo Li · Anima Anandkumar · Bryan Catanzaro
• 2022 Poster: Pre-Trained Language Models for Interactive Decision-Making »
  Shuang Li · Xavier Puig · Chris Paxton · Yilun Du · Clinton Wang · Linxi Fan · Tao Chen · De-An Huang · Ekin Akyürek · Anima Anandkumar · Jacob Andreas · Igor Mordatch · Antonio Torralba · Yuke Zhu
• 2022 Poster: MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge »
  Linxi Fan · Guanzhi Wang · Yunfan Jiang · Ajay Mandlekar · Yuncong Yang · Haoyi Zhu · Andrew Tang · De-An Huang · Yuke Zhu · Anima Anandkumar
• 2016 Workshop: Learning with Tensors: Why Now and How? »
  Anima Anandkumar · Rong Ge · Yan Liu · Maximilian Nickel · Qi (Rose) Yu
• 2016 Workshop: Nonconvex Optimization for Machine Learning: Theory and Practice »
  Hossein Mobahi · Anima Anandkumar · Percy Liang · Stefanie Jegelka · Anna Choromanska
• 2016 Poster: Online and Differentially-Private Tensor Decomposition »
  Yining Wang · Anima Anandkumar
• 2015 : Opening and Overview »
  Anima Anandkumar
• 2015 Workshop: Non-convex Optimization for Machine Learning: Theory and Practice »
  Anima Anandkumar · Niranjan Uma Naresh · Kamalika Chaudhuri · Percy Liang · Sewoong Oh
• 2015 Poster: Fast and Guaranteed Tensor Decomposition via Sketching »
  Yining Wang · Hsiao-Yu Tung · Alexander Smola · Anima Anandkumar
• 2015 Spotlight: Fast and Guaranteed Tensor Decomposition via Sketching »
  Yining Wang · Hsiao-Yu Tung · Alexander Smola · Anima Anandkumar
• 2014 Poster: Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition »
  Hanie Sedghi · Anima Anandkumar · Edmond A Jonckheere
• 2013 Workshop: Topic Models: Computation, Application, and Evaluation »
  David Mimno · Amr Ahmed · Jordan Boyd-Graber · Ankur Moitra · Hanna Wallach · Alexander Smola · David Blei · Anima Anandkumar
• 2013 Poster: When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity »
  Anima Anandkumar · Daniel Hsu · Majid Janzamin · Sham M Kakade
• 2012 Poster: Learning Mixtures of Tree Graphical Models »
  Anima Anandkumar · Daniel Hsu · Furong Huang · Sham M Kakade
• 2012 Poster: A Spectral Algorithm for Latent Dirichlet Allocation »
  Anima Anandkumar · Dean P Foster · Daniel Hsu · Sham M Kakade · Yi-Kai Liu
• 2012 Spotlight: A Spectral Algorithm for Latent Dirichlet Allocation »
  Anima Anandkumar · Dean P Foster · Daniel Hsu · Sham M Kakade · Yi-Kai Liu
• 2012 Poster: Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs »
  Anima Anandkumar · Ragupathyraj Valluvan
• 2011 Poster: Spectral Methods for Learning Multivariate Latent Tree Structure »
  Anima Anandkumar · Kamalika Chaudhuri · Daniel Hsu · Sham M Kakade · Le Song · Tong Zhang