Daniel Freedman

110 papers A* 20A 3B 4Misc 1Journal 63Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels. AAAI Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman
2025	A*	`conf`	A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation. AAAI Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein
2025	J	`jnl`	Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation. CoRR Radhika Dua, Young Joon Fred Kwon, Siddhant Dogra, Daniel Freedman, Diana Ruan, Motaz Nashawaty, Danielle Rigau, Daniel Alexander Alber, Kang Zhang, Kyunghyun Cho, Eric Karl Oermann
2025	J	`jnl`	ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment. Trans. Mach. Learn. Res. Tomer Borreda, Daniel Freedman, Or Litany
2025	J	`jnl`	SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels. CoRR Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman
2024	J	`jnl`	A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Schrodinger Equation. CoRR Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein
2024	J	`jnl`	Computing Speed-of-Sound From Ultrasound: User-Agnostic Recovery and a New Benchmark. IEEE Trans. Biomed. Eng. Micha Feigin, Daniel Freedman, Brian W. Anthony
2024	A*	`conf`	Early Time Classification with Accumulated Accuracy Gap Control. ICML Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano
2024	J	`jnl`	Early Time Classification with Accumulated Accuracy Gap Control. CoRR Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano
2024	J	`jnl`	HIPI: Spatially resolved multiplexed protein expression inferred from H&E WSIs. PLoS Comput. Biol. Ron Zeira, Leon Anavy, Zohar Yakhini, Ehud Rivlin, Daniel Freedman
2024	A*	`conf`	Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models. NeurIPS Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman
2024	J	`jnl`	Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models. CoRR Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman
2024	J	`jnl`	Molecular Diffusion Models with Virtual Receptors. CoRR Matan Halfon, Eyal Rozenberg, Ehud Rivlin, Daniel Freedman
2024	—	`conf`	On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models. ACL (Short Papers) Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
2024	J	`jnl`	On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models. CoRR Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
2024	J	`jnl`	Overcoming Order in Autoregressive Graph Generation for Molecule Generation. Trans. Mach. Learn. Res. Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman
2024	J	`jnl`	Overcoming Order in Autoregressive Graph Generation. CoRR Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman
2024	J	`jnl`	Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems. IEEE Trans. Pattern Anal. Mach. Intell. Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad
2024	A	`conf`	Random Walks for Temporal Action Segmentation with Timestamp Supervision. WACV Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
2024	J	`jnl`	ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment. CoRR Tomer Borreda, Daniel Freedman, Or Litany
2024	J	`jnl`	Streamlining Conformal Information Retrieval via Score Refinement. CoRR Yotam Intrator, Ori Kelner, Regev Cohen, Roman Goldenberg, Ehud Rivlin, Daniel Freedman
2023	—	`conf`	Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging. TML4H Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin
2023	J	`jnl`	Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering. CoRR 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
2023	—	`conf`	Diffusion Models for Generative Histopathology. DGM4MICCAI Niranjan Sridhar, Michael Elad, Carson McNeil, Ehud Rivlin, Daniel Freedman
2023	J	`jnl`	Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems. CoRR Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad
2023	J	`jnl`	Self-Supervised Learning for Endoscopic Video Analysis. CoRR Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
2023	A*	`conf`	Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics. KDD Yakir Yehuda, Daniel Freedman, Kira Radinsky
2023	—	`conf`	Self-supervised Learning for Endoscopic Video Analysis. MICCAI (5) Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
2023	J	`jnl`	Semi-Equivariant Conditional Normalizing Flows. CoRR Eyal Rozenberg, Daniel Freedman
2023	J	`jnl`	Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation. Mach. Learn. Sci. Technol. Eyal Rozenberg, Daniel Freedman
2023	J	`jnl`	Weakly-Supervised Surgical Phase Recognition. CoRR Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin
2022	J	`jnl`	Deep Unfolding With Normalizing Flow Priors for Inverse Problems. IEEE Trans. Signal Process. Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun
2022	—	`conf`	Estimating Withdrawal Time in Colonoscopies. ECCV Workshops (3) Liran Katzir, Danny Veikherman, Valentin Dashinsky, Roman Goldenberg, Ilan Shimshoni, Nadav Rabani, Regev Cohen, Ori Kelner, Ehud Rivlin, Daniel Freedman
2022	Misc	`conf`	Image Denoising with Deep Unfolding And Normalizing Flows. ICASSP Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun
2022	B	`conf`	Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations. ICPR George Leifman, Amit Aides, Tomer Golany, Daniel Freedman, Ehud Rivlin
2022	—	`conf`	RepsNet: Combining Vision with Language for Automated Medical Reports. MICCAI (5) Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman
2022	J	`jnl`	RepsNet: Combining Vision with Language for Automated Medical Reports. CoRR Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman
2022	J	`jnl`	Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation. CoRR Eyal Rozenberg, Daniel Freedman
2022	J	`jnl`	What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems. CoRR Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman
2021	A*	`conf`	12-Lead ECG Reconstruction via Koopman Operators. ICML Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha
2021	J	`jnl`	Deep Energy: Task Driven Training of Deep Neural Networks. IEEE J. Sel. Top. Signal Process. Alona Golts, Daniel Freedman, Michael Elad
2021	A*	`conf`	ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. AAAI Tomer Golany, Daniel Freedman, Kira Radinsky
2021	J	`jnl`	Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals. CoRR Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie
2021	A*	`conf`	It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems. NeurIPS Regev Cohen, Yochai Blau, Daniel Freedman, Ehud Rivlin
2021	J	`jnl`	Learning Optimal Wavefront Shaping for Multi-Channel Imaging. IEEE Trans. Pattern Anal. Mach. Intell. Elias Nehme, Boris Ferdman, Lucien E. Weiss, Tal Naor, Daniel Freedman, Tomer Michaeli, Yoav Shechtman
2021	J	`jnl`	Learning to Localize Objects Using Limited Annotation, With Applications to Thoracic Diseases. IEEE Access Eyal Rozenberg, Daniel Freedman, Alex M. Bronstein
2021	J	`jnl`	SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits. CoRR Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie
2021	—	`conf`	Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy. ICCVW Yochai Blau, Daniel Freedman, Valentin Dashinsky, Roman Goldenberg, Ehud Rivlin
2020	J	`jnl`	A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound. IEEE Trans. Biomed. Eng. Micha Feigin, Daniel Freedman, Brian W. Anthony
2020	J	`jnl`	Detecting Deficient Coverage in Colonoscopies. CoRR Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin
2020	J	`jnl`	Detecting Deficient Coverage in Colonoscopies. IEEE Trans. Medical Imaging Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin
2020	—	`conf`	Detecting muscle activation using ultrasound speed of sound inversion with deep learning. EMBC Micha Feigin, Manuel Zwecker, Daniel Freedman, Brian W. Anthony
2020	J	`jnl`	Learning an optimal PSF-pair for ultra-dense 3D localization microscopy. CoRR Elias Nehme, Boris Ferdman, Lucien E. Weiss, Tal Naor, Daniel Freedman, Tomer Michaeli, Yoav Shechtman
2020	A*	`conf`	SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. ICML Tomer Golany, Kira Radinsky, Daniel Freedman
2020	J	`jnl`	SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. CoRR Tomer Golany, Daniel Freedman, Kira Radinsky
2020	J	`jnl`	Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. IEEE Trans. Image Process. Alona Golts, Daniel Freedman, Michael Elad
2019	J	`jnl`	Detecting muscle activation using ultrasound speed of sound inversion with deep learning. CoRR Micha Feigin, Manuel Zwecker, Daniel Freedman, Brian W. Anthony
2019	—	`conf`	Localization with Limited Annotation for Chest X-rays. ML4H@NeurIPS Eyal Rozenberg, Daniel Freedman, Alex M. Bronstein
2019	J	`jnl`	Localization with Limited Annotation. CoRR Eyal Rozenberg, Daniel Freedman, Alexander M. Bronstein
2018	J	`jnl`	A Deep learning framework for Single sided sound speed inversion in medical ultrasound. CoRR Micha Feigin, Daniel Freedman, Brian W. Anthony
2018	J	`jnl`	Deep Energy: Using Energy Functions for Unsupervised Training of DNNs. CoRR Alona Golts, Daniel Freedman, Michael Elad
2018	J	`jnl`	SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels. CoRR Or Litany, Daniel Freedman
2018	J	`jnl`	Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. CoRR Alona Golts, Daniel Freedman, Michael Elad
2017	J	`jnl`	ASIST: Automatic semantically invariant scene transformation. Comput. Vis. Image Underst. Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal
2017	A*	`conf`	Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines. CHI Eyal Krupka, Kfir Karmon, Noam Bloom, Daniel Freedman, Ilya Gurvich, Aviv Hurvitz, Ido Leichter, Yoni Smolin, Yuval Tzairi, Alon Vinnikov, Aharon Bar-Hillel
2016	A*	`conf`	Reality Skins: Creating Immersive and Tactile Virtual Environments. ISMAR Lior Shapira, Daniel Freedman
2015	J	`jnl`	ASIST: Automatic Semantically Invariant Scene Transformation. CoRR Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal
2015	A*	`conf`	Accurate, Robust, and Flexible Real-time Hand Tracking. CHI Toby Sharp, Cem Keskin, Duncan P. Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew W. Fitzgibbon, Shahram Izadi
2014	A*	`conf`	Discriminative Ferns Ensemble for Hand Pose Recognition. CVPR Eyal Krupka, Alon Vinnikov, Ben Klein, Aharon Bar-Hillel, Daniel Freedman, Simon Stachniak
2014	—	`conf`	SRA: Fast Removal of General Multipath for ToF Sensors. ECCV (1) Daniel Freedman, Yoni Smolin, Eyal Krupka, Ido Leichter, Mirko Schmidt
2014	J	`jnl`	SRA: Fast Removal of General Multipath for ToF Sensors. CoRR Daniel Freedman, Eyal Krupka, Yoni Smolin, Ido Leichter, Mirko Schmidt
2012	J	`jnl`	An improved image graph for semi-automatic segmentation. Signal Image Video Process. Daniel Freedman
2012	B	`conf`	DFlow and DField: New features for capturing object and image relationships. ICPR Pavel Kisilev, Daniel Freedman, Eugene Walach, Asaf Tzadok, Yehuda Naveh
2012	B	`conf`	Efficient and robust image descriptor for GUI object classification. ICPR Anastasia Dubrovina, Pavel Kisilev, Daniel Freedman, Sagi Schein, Ruth Bergman
2011	A*	`conf`	Enforcing topological constraints in random field image segmentation. CVPR Chao Chen, Daniel Freedman, Christoph H. Lampert
2011	J	`jnl`	Hardness Results for Homology Localization. Discret. Comput. Geom. Chao Chen, Daniel Freedman
2010	J	`jnl`	Computing Color Transforms with Applications to Image Editing. J. Math. Imaging Vis. Daniel Freedman, Pavel Kisilev
2010	—	`conf`	Content-aware image resizing by quadratic programming. CVPR Workshops Renjie Chen, Daniel Freedman, Zachi Karni, Craig Gotsman, Ligang Liu
2010	J	`jnl`	Graph cuts with many-pixel interactions: Theory and applications to shape modelling. Image Vis. Comput. Daniel Freedman, Matthew W. Turek
2010	A*	`conf`	Hardness Results for Homology Localization. SODA Chao Chen, Daniel Freedman
2010	J	`jnl`	KDE Paring and a Faster Mean Shift Algorithm. SIAM J. Imaging Sci. Daniel Freedman, Pavel Kisilev
2010	J	`jnl`	Measuring and computing natural generators for homology groups. Comput. Geom. Chao Chen, Daniel Freedman
2010	A*	`conf`	Object-to-object color transfer: Optimal flows and SMSP transformations. CVPR Daniel Freedman, Pavel Kisilev
2010	A	`conf`	Parameter Tuning from Pairwise Preferences. BMVC Pavel Kisilev, Daniel Freedman
2010	—	`conf`	Topology Noise Removal for Curve and Surface Evolution. MCV Chao Chen, Daniel Freedman
2009	—	`conf`	Color Transforms for Creative Image Editing. CIC Pavel Kisilev, Daniel Freedman
2009	J	`jnl`	Energy-Based Image Deformation. Comput. Graph. Forum Zachi Karni, Daniel Freedman, Craig Gotsman
2009	B	`conf`	Fast Data Reduction via KDE Approximation. DCC Daniel Freedman, Pavel Kisilev
2009	A*	`conf`	Fast Mean Shift by compact density representation. CVPR Daniel Freedman, Pavel Kisilev
2008	J	`jnl`	Quantifying Homology Classes CoRR Chao Chen, Daniel Freedman
2008	A	`conf`	Quantifying Homology Classes. STACS Chao Chen, Daniel Freedman
2007	J	`jnl`	An incremental algorithm for reconstruction of surfaces of arbitrary codimension. Comput. Geom. Daniel Freedman
2007	J	`jnl`	Measuring and Localing Homology Classes CoRR Daniel Freedman, Chao Chen
2007	J	`jnl`	Quantifying Homology Classes II: Localization and Stability CoRR Chao Chen, Daniel Freedman
2006	—	`conf`	Multiscale Modeling and Constraints for Max-flow/Min-cut Problems in Computer Vision. CVPR Workshops Matthew W. Turek, Daniel Freedman
2005	—	`conf`	Energy Minimization via Graph Cuts: Settling What is Possible. CVPR (2) Daniel Freedman, Petros Drineas
2005	—	`conf`	Illumination-Invariant Tracking via Graph Cuts. CVPR (2) Daniel Freedman, Matthew W. Turek
2005	J	`jnl`	Improving Performance of Distribution Tracking through Background Mismatch. IEEE Trans. Pattern Anal. Mach. Intell. Tao Zhang, Daniel Freedman
2005	—	`conf`	Interactive Graph Cut Based Segmentation with Shape Priors. CVPR (1) Daniel Freedman, Tao Zhang
2005	J	`jnl`	Model-based segmentation of medical imagery by matching distributions. IEEE Trans. Medical Imaging Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, D. Michael Lovelock, George T. Y. Chen
2004	J	`jnl`	Active contours for tracking distributions. IEEE Trans. Image Process. Daniel Freedman, Tao Zhang
2004	—	`conf`	Model-Based Multi-Object Segmentation via Distribution Matching. CVPR Workshops Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, George T. Y. Chen
2004	—	`conf`	Surface reconstruction, one triangle at a time. CCCG Daniel Freedman
2003	J	`jnl`	Effective Tracking through Tree-Search. IEEE Trans. Pattern Anal. Mach. Intell. Daniel Freedman
2003	A*	`conf`	Tracking Objects Using Density Matching and Shape Priors. ICCV Tao Zhang, Daniel Freedman
2002	J	`jnl`	Combinatorial curve reconstruction in Hilbert spaces: A new sampling theory and an old result revisited. Comput. Geom. Daniel Freedman
2002	J	`jnl`	Efficient Simplicial Reconstructions of Manifolds from Their Samples. IEEE Trans. Pattern Anal. Mach. Intell. Daniel Freedman
2000	J	`jnl`	Contour Tracking in Clutter: A Subset Approach. Int. J. Comput. Vis. Daniel Freedman, Michael S. Brandstein
2000	A*	`conf`	Provably Fast Algorithms for Contour Tracking. CVPR Daniel Freedman, Michael S. Brandstein
1999	A*	`conf`	A Subset Approach to Contour Tracking in Clutter. ICCV Daniel Freedman, Michael S. Brandstein