Freedman, Daniel

39 publications

AAAI 2025 A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein

TMLR 2025 ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment Tomer Borreda, Daniel Freedman, Or Litany

ICML 2024 Early Time Classification with Accumulated Accuracy Gap Control Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano

NeurIPS 2024 Looks Too Good to Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman

TMLR 2024 Overcoming Order in Autoregressive Graph Generation for Molecule Generation Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman

WACV 2024 Random Walks for Temporal Action Segmentation with Timestamp Supervision Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin

ICLRW 2023 3D Graph Conditional Distributions via Semi-Equivariant Continuous Normalizing Flows Eyal Rozenberg, Ehud Rivlin, Daniel Freedman

ICLRW 2023 A Machine Learning Approach to Generate Quantum Light Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Sarika Mishra, Shashi Prabhakar, Ravindra Pratap Singh, Daniel Freedman, Alex M. Bronstein, Ady Arie

ICLRW 2023 Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin

ICLRW 2023 Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Sarika Mishra, Shashi Prabhakar, Ravindra Pratap Singh, Daniel Freedman, Alex M. Bronstein, Ady Arie

NeurIPSW 2023 Order Agnostic Autoregressive Graph Generation Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman

ICLRW 2023 Semi-Equivariant Conditional Normalizing Flows Eyal Rozenberg, Daniel Freedman

ICLRW 2023 Structure-Based Drug Design via Semi-Equivariant Conditional Normalizing Flows Eyal Rozenberg, Ehud Rivlin, Daniel Freedman

NeurIPSW 2023 The Double-Edged Sword: Perception and Uncertainty in Inverse Problems Regev Cohen, Ehud Rivlin, Daniel Freedman

NeurIPSW 2023 The Perception-Uncertainty Tradeoff in Generative Restoration Models Regev Cohen, Ehud Rivlin, Daniel Freedman

NeurIPSW 2023 Virtual Receptors for Efficient Molecular Diffusion Matan Halfon, Eyal Rozenberg, Ehud Rivlin, Daniel Freedman

NeurIPSW 2023 Volume-Oriented Uncertainty for Inverse Problems Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad

ECCVW 2022 Estimating Withdrawal Time in Colonoscopies Liran Katzir, Danny Veikherman, Valentin Dashinsky, Roman Goldenberg, Ilan Shimshoni, Nadav Rabani, Regev Cohen, Ori Kelner, Ehud Rivlin, Daniel Freedman

ICML 2021 12-Lead ECG Reconstruction via Koopman Operators Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha

AAAI 2021 ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning Tomer Golany, Daniel Freedman, Kira Radinsky

NeurIPS 2021 It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems Regev Cohen, Yochai Blau, Daniel Freedman, Ehud Rivlin

ICCVW 2021 Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy Yochai Blau, Daniel Freedman, Valentin Dashinsky, Roman Goldenberg, Ehud Rivlin

ICML 2020 SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification Tomer Golany, Kira Radinsky, Daniel Freedman

ICLRW 2019 SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels Or Litany, Daniel Freedman

CVPR 2014 Discriminative Ferns Ensemble for Hand Pose Recognition Eyal Krupka, Alon Vinnikov, Ben Klein, Aharon Bar Hillel, Daniel Freedman, Simon Stachniak

ECCV 2014 SRA: Fast Removal of General Multipath for ToF Sensors Daniel Freedman, Yoni Smolin, Eyal Krupka, Ido Leichter, Mirko Schmidt

CVPR 2011 Enforcing Topological Constraints in Random Field Image Segmentation Chao Chen, Daniel Freedman, Christoph H. Lampert

CVPRW 2010 Content-Aware Image Resizing by Quadratic Programming Renjie Chen, Daniel Freedman, Zachi Karni, Craig Gotsman, Ligang Liu

CVPR 2010 Object-to-Object Color Transfer: Optimal Flows and SMSP Transformations Daniel Freedman, Pavel Kisilev

CVPR 2009 Fast Mean Shift by Compact Density Representation Daniel Freedman, Pavel Kisilev

CVPRW 2006 Multiscale Modeling and Constraints for Max-flow/Min-Cut Problems in Computer Vision Matthew W. Turek, Daniel Freedman

CVPR 2005 Energy Minimization via Graph Cuts: Settling What Is Possible Daniel Freedman, Petros Drineas

CVPR 2005 Illumination-Invariant Tracking via Graph Cuts Daniel Freedman, Matthew W. Turek

CVPR 2005 Interactive Graph Cut Based Segmentation with Shape Priors Daniel Freedman, Tao Zhang

CVPR 2004 Model-Based Multi-Object Segmentation via Distribution Matching Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, George T. Y. Chen

CVPRW 2004 Model-Based Multi-Object Segmentation via Distribution Matching Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, George T. Y. Chen

ICCV 2003 Tracking Objects Using Density Matching and Shape Priors Tao Zhang, Daniel Freedman

CVPR 2000 Provably Fast Algorithms for Contour Tracking Daniel Freedman, Michael S. Brandstein

ICCV 1999 A Subset Approach to Contour Tracking in Clutter Daniel Freedman, Michael S. Brandstein