Related Events (a corresponding poster, oral, or spotlight)

• 2007 Oral: Efficient Inference forDistributions on Permutations »
  Wed. Dec 5th 07:10 -- 07:30 PM Room

More from the Same Authors

• 2021 : Feedforward Omnimatte »
  Sharon Zhang · Jonathan Huang · Vivek Rathod
• 2022 : Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks »
  Sidhika Balachandar · Adrien Poulenard · Congyue Deng · Leonidas Guibas
• 2022 Poster: NeuForm: Adaptive Overfitting for Neural Shape Editing »
  Connor Lin · Niloy Mitra · Gordon Wetzstein · Leonidas Guibas · Paul Guerrero
• 2022 Poster: Object Scene Representation Transformer »
  Mehdi S. M. Sajjadi · Daniel Duckworth · Aravindh Mahendran · Sjoerd van Steenkiste · Filip Pavetic · Mario Lucic · Leonidas Guibas · Klaus Greff · Thomas Kipf
• 2021 Poster: Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks »
  Tolga Birdal · Aaron Lou · Leonidas Guibas · Umut Simsekli
• 2021 Poster: Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds »
  Xiaolong Li · Yijia Weng · Li Yi · Leonidas Guibas · A. Abbott · Shuran Song · He Wang
• 2021 Poster: SketchGen: Generating Constrained CAD Sketches »
  Wamiq Para · Shariq Bhat · Paul Guerrero · Tom Kelly · Niloy Mitra · Leonidas Guibas · Peter Wonka
• 2020 : QA: Leonidas J. Guibas »
  Leonidas Guibas
• 2020 : Invited Talk: Leonidas J. Guibas »
  Leonidas Guibas
• 2020 Poster: Generative 3D Part Assembly via Dynamic Graph Learning »
  jialei huang · Guanqi Zhan · Qingnan Fan · Kaichun Mo · Lin Shao · Baoquan Chen · Leonidas Guibas · Hao Dong
• 2020 Poster: CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations »
  Davis Rempe · Tolga Birdal · Yongheng Zhao · Zan Gojcic · Srinath Sridhar · Leonidas Guibas
• 2020 Poster: ShapeFlow: Learnable Deformation Flows Among 3D Shapes »
  Chiyu Jiang · Jingwei Huang · Andrea Tagliasacchi · Leonidas Guibas
• 2020 Spotlight: ShapeFlow: Learnable Deformation Flows Among 3D Shapes »
  Chiyu Jiang · Jingwei Huang · Andrea Tagliasacchi · Leonidas Guibas
• 2020 Spotlight: CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations »
  Davis Rempe · Tolga Birdal · Yongheng Zhao · Zan Gojcic · Srinath Sridhar · Leonidas Guibas
• 2019 Poster: Multiview Aggregation for Learning Category-Specific Shape Reconstruction »
  Srinath Sridhar · Davis Rempe · Julien Valentin · Bouaziz Sofien · Leonidas Guibas
• 2019 Poster: A Condition Number for Joint Optimization of Cycle-Consistent Networks »
  Leonidas Guibas · Qixing Huang · Zhenxiao Liang
• 2019 Spotlight: A Condition Number for Joint Optimization of Cycle-Consistent Networks »
  Leonidas Guibas · Qixing Huang · Zhenxiao Liang
• 2018 Poster: Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions »
  Minhyuk Sung · Hao Su · Ronald Yu · Leonidas Guibas
• 2018 Poster: Learning to Optimize Tensor Programs »
  Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy
• 2018 Spotlight: Learning to Optimize Tensor Programs »
  Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy
• 2018 Poster: Training Deep Models Faster with Robust, Approximate Importance Sampling »
  Tyler Johnson · Carlos Guestrin
• 2017 Poster: PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space »
  Charles Ruizhongtai Qi · Li Yi · Hao Su · Leonidas Guibas
• 2016 : Invited talk, Carlos Guestrin »
  Carlos Guestrin
• 2016 Poster: Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization »
  Tyler Johnson · Carlos Guestrin
• 2016 Poster: FPNN: Field Probing Neural Networks for 3D Data »
  Yangyan Li · Soeren Pirk · Hao Su · Charles R Qi · Leonidas Guibas
• 2015 Poster: Deep Knowledge Tracing »
  Chris Piech · Jonathan Bassen · Jonathan Huang · Surya Ganguli · Mehran Sahami · Leonidas Guibas · Jascha Sohl-Dickstein
• 2014 Poster: Divide-and-Conquer Learning by Anchoring a Conical Hull »
  Tianyi Zhou · Jeffrey A Bilmes · Carlos Guestrin
• 2013 Workshop: Data Driven Education »
  Jonathan Huang · Sumit Basu · Kalyan Veeramachaneni
• 2013 Poster: Wavelets on Graphs via Deep Learning »
  Raif Rustamov · Leonidas Guibas
• 2013 Demonstration: Codewebs: a Pedagogical Search Engine for Code Submissions to a MOOC »
  Jonathan Huang · Chris Piech · Andy Nguyen · Leonidas Guibas
• 2012 Poster: Probabilistic Event Cascades for Alzheimer's disease »
  Jonathan Huang · Daniel C Alexander
• 2012 Demonstration: GraphLab: A Framework For Machine Learning in the Cloud »
  Yucheng Low · Haijie Gu · Carlos Guestrin
• 2011 Workshop: Big Learning: Algorithms, Systems, and Tools for Learning at Scale »
  Joseph E Gonzalez · Sameer Singh · Graham Taylor · James Bergstra · Alice Zheng · Misha Bilenko · Yucheng Low · Yoshua Bengio · Michael Franklin · Carlos Guestrin · Andrew McCallum · Alexander Smola · Michael Jordan · Sugato Basu
• 2011 Poster: Linear Submodular Bandits and their Application to Diversified Retrieval »
  Yisong Yue · Carlos Guestrin
• 2010 Poster: Evidence-Specific Structures for Rich Tractable CRFs »
  Anton Chechetka · Carlos Guestrin
• 2010 Poster: Inference with Multivariate Heavy-Tails in Linear Models »
  Danny Bickson · Carlos Guestrin
• 2009 Workshop: Learning with Orderings »
  Tiberio Caetano · Carlos Guestrin · Jonathan Huang · Risi Kondor · Guy Lebanon · Marina Meila
• 2009 Workshop: Large-Scale Machine Learning: Parallelism and Massive Datasets »
  Alexander Gray · Arthur Gretton · Alexander Smola · Joseph E Gonzalez · Carlos Guestrin
• 2009 Poster: Riffled Independence for Ranked Data »
  Jonathan Huang · Carlos Guestrin
• 2009 Spotlight: Riffled Independence for Ranked Data »
  Jonathan Huang · Carlos Guestrin
• 2007 Spotlight: Selecting Observations against Adversarial Objectives »
  Andreas Krause · H. Brendan McMahan · Carlos Guestrin · Anupam Gupta
• 2007 Poster: Selecting Observations against Adversarial Objectives »
  Andreas Krause · H. Brendan McMahan · Carlos Guestrin · Anupam Gupta
• 2007 Poster: Efficient Principled Learning of Thin Junction Trees »
  Anton Chechetka · Carlos Guestrin
• 2006 Poster: Distributed Inference in Dynamical Systems »
  Stanislav Funiak · Carlos Guestrin · Mark A Paskin · Rahul Sukthankar