DANIEL FREEDMAN

Using Diffusion Models to Estimate Uncertainties in Analytic Continuation

S. Meir, D. Freedman, B. Hirshberg

Overcoming PINNs Failure Modes In High Dimension With Low-Rank Fourier Sum

N. Kaminsky, D. Freedman, and K. Radinsky

Neural Fourier Transform for Multiple Time Series Prediction

N. Koren, D. Freedman, and K. Radinsky

SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels

N. Koren, R.J.J. Mackenbach, R.J.G. van Sloun, K. Radinsky, and D. Freedman

ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment

T. Borreda, D. Freedman, and O. Litany

A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation

D. Freedman, E. Rozenberg, and A. Bronstein

Streamlining Conformal Information Retrieval via Score Refinement

Y. Intrator, O. Kelner, R. Goldenberg, D. Freedman, E. Rivlin, and R. Cohen

Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models

R. Cohen, I. Kligvasser, E. Rivlin, and D. Freedman

HIPI: Spatially Resolved Multiplexed Protein Expression Inferred from H&E WSIs

R. Zeira, L. Anavy, Z. Yakhini, E. Rivlin, and D. Freedman

Overcoming Order in Autoregressive Graph Generation for Molecule Generation

E. Cohen-Karlik, E. Rozenberg, and D. Freedman

On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models

M. Varshavsky-Hassid, R. Hirsch, R. Cohen, T. Golany, D. Freedman, and E. Rivlin

Early Time Classification with Accumulated Accuracy Gap Control

L. Ringel, R. Cohen, D. Freedman, M. Elad, and Y. Romano

Fast Simulation of Spontaneous Parametric Down-Conversion via Neural Operators

D. Shacham, N. Maor, B. Halperin, E. Rozenberg, A. Bronstein, and D. Freedman

HIPI: Spatially Resolved Multiplexed Protein Expression Inferred from H&E WSIs

R. Zeira, L. Anavy, Z. Yakhini, E. Rivlin, and D. Freedman

Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems

O. Belhasin, Y. Romano, D. Freedman, E. Rivlin, and M. Elad

Computing Speed-of-Sound from Ultrasound: User-Agnostic Recovery and a New Benchmark

M. Feigin, D. Freedman, and B. Anthony

Random Walks for Temporal Action Segmentation with Timestamp Supervision

R. Hirsch, R. Cohen, D. Freedman, T. Golany, and E. Rivlin

An End-to-End Platform for Digital Pathology Using Hyperspectral Autofluorescence Microscopy and Deep Learning Based Virtual Histology

C. McNeil, P. Wong, N. Sridhar, Y. Wang, C. Santori, C. Wu, A. Homyk, M. Gutierrez, A. Behrooz, D. Tiniakos, A. Burt, R. Pai, K. Tekiela, P. Chen, L. Fischer, E. Martins, S. Seyedkazemi, D. Freedman, C. Kim, and P. Cimermancic

The Double-Edged Sword: Perception and Uncertainty in Inverse Problems

R. Cohen, E. Rivlin, and D. Freedman

Molecular Diffusion Models with Virtual Receptors

M. Halfon, E. Rozenberg, E. Rivlin, and D. Freedman

Order Agnostic Autoregressive Graph Generation

E. Cohen-Karlik, E. Rozenberg, and D. Freedman

Volume-Oriented Uncertainty for Inverse Problems

O. Belhasin, Y. Romano, D. Freedman, E. Rivlin, and M. Elad

Virtual Receptors for Efficient Molecular Diffusion

M. Halfon, E. Rozenberg, E. Rivlin, and D. Freedman

The Perception-Uncertainty Tradeoff in Generative Restoration Models

R. Cohen, E. Rivlin, and D. Freedman

Diffusion Models for Generative Histopathology

N. Sridhar, C. McNeil, M. Elad, E. Rivlin, and D. Freedman

Semi-Equivariant Conditional Normalizing Flows, with Applications to Target-Aware Molecule Generation

E. Rozenberg and D. Freedman

Self-Supervised Learning for Endoscopic Video Analysis

R. Hirsch, M. Caron, R. Cohen, A. Livne, R. Shapiro, D. Freedman, and E. Rivlin

Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics

Y. Yehuda, D. Freedman, and K. Radinsky

Structure-Based Drug Design via Semi-Equivariant Conditional Normalizing Flows

E. Rozenberg, E. Rivlin, and D. Freedman

Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering

E. Rozenberg, A. Karnieli, O. Yesharim, J. Foley-Comer, S. Trajtenberg-Mills, S. Mishra, S. Prabhakar, R. Singh, D. Freedman, A. Bronstein, and A. Arie

3D Graph Conditional Distributions via Semi-Equivariant Continuous Normalizing Flows

E. Rozenberg, E. Rivlin, and D. Freedman

A Machine Learning Approach to Generate Quantum Light

E. Rozenberg, A. Karnieli, O. Yesharim, J. Foley-Comer, S. Trajtenberg-Mills, S. Mishra, S. Prabhakar, R. Singh, D. Freedman, A. Bronstein, and A. Arie

Semi-Equivariant Conditional Normalizing Flows

E. Rozenberg and D. Freedman

Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging

G. Kutiel, R. Cohen, M. Elad, and D. Freedman

Inverse Design of Spontaneous Parametric Down Conversion for Generation of High-Dimensional Qudits

E. Rozenberg, A. Karnieli, O. Yesharim, J. Foley-Comer, S. Trajtenberg-Mills, D. Freedman, A. Bronstein, and A. Arie

Deep Unfolding with Normalizing Flow Priors for Inverse Problems

X. Wei, H. van Gorp, L. Gonzalez Carabarin, D. Freedman, Y. Eldar, and R. van Sloun

Estimating Withdrawal Time in Colonoscopies

L. Katzir, D. Veikherman, V. Dashinsky, R. Goldenberg, I. Shimshoni, N. Rabani, R. Cohen, O. Kelner, E. Rivlin, and D. Freedman

RepsNet: Combining Vision with Language for Automated Medical Reports

A. Tanwani, J. Barral, and D. Freedman

Weakly-Supervised Surgical Phase Recognition

R. Hirsch, C. Cohen, D. Freedman, T. Golany, M. Caron, and E. Rivlin

Artificial Intelligence for Phase Recognition in Complex Laparoscopic Cholecystectomy

T. Golany, A. Aides, D. Freedman, N. Rabani, Y. Liu, E. Rivlin, G. Corrado, Y. Matias, W. Khoury, H. Kashtan, and P. Reissman

Impacts of a Novel AI-Enabled Polyp Detection System: a Prospective Randomized Clinical Trial

Lachter, Y. Raz, A. Kobzan, A. Suissa, A. Bezobchuk, B. Makhoul, A. Partoush, E. Zi‹an, R. Shalabi, N. Rabani, D. Freedman, S. Plowman, S. Schlachter, E. Rivlin, and R. Goldenberg

Pixel-Accurate Segmentation of Surgical Tools based on Bounding Box Annotations

G. Leifman, A. Aides, T. Golany, D. Freedman, and E. Rivlin

Image Denoising with Deep Unfolding and Normalizing Flows

X. Wei, H. van Gorp, L. Gonzalez Carabarin, D. Freedman, Y. Eldar, and R. van Sloun

It has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems

R. Cohen, Y. Blau, D. Freedman, and E. Rivlin

Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy

Y. Blau, D. Freedman, V. Dashinsky, R. Goldenberg, and E. Rivlin

Detection of Elusive Polyps via a Large-Scale Artificial Intelligence System

D.M. Livovsky, D. Veikherman, T. Golany, A. Aides, V. Dashinski, N. Rabani, D. Ben Shimol, Y. Blau, L. Katzir, I. Shimshoni, Y. Liu, O. Segol, E. Goldin, G. Corrado, J. Lachter, Y. Matias, E. Rivlin, and D. Freedman

12-Lead ECG Reconstruction via Koopman Operators

T. Golany, D. Freedman, S. Minha, and K. Radinsky

Learning Optimal Wavefront Shaping for Multi-Channel Imaging

E. Nehme, B. Ferdman, L. Weiss, T. Naor, D. Freedman, T. Michaeli, and Y. Shechtman

Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals

E. Rozenberg, A. Karnieli, O. Yesharim, S. Trajtenberg-Mills, D. Freedman, A. Bronstein, and A. Arie

Learning to Localize Objects Using Limited Annotation, with Applications to Thoracic Diseases

E. Rozenberg, D. Freedman, and A. Bronstein

Deep Energy: Task Driven Training of Deep Neural Networks

A. Golts, D. Freedman, and M. Elad

ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning

T. Golany, D. Freedman, and K. Radinsky

3D Microscopy in Extreme Conditions: In-Flow or at High Density

Y. Shechtman, E. Nehme, B. Ferdman, O. Adir, R. Gordon-Soffer, R. Orange, T. Naor, Y. Shalev-Ezra, S. Goldberg, O. Alalouf, D. Freedman, A. Schroeder, T. Michaeli, and L. Weiss

High-Frequency Full-waveform Inversion with Deep Learning for Seismic and Medical Ultrasound Imaging

M. Feigin, Y. Makovsky, D. Freedman, and B.W. Anthony

Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification

T. Golany, D. Freedman, and K. Radinsky

DeepSTORM3D: Dense Three Dimensional Localization Microscopy and Point Spread Function Design by Deep Learning

E. Nehme, D. Freedman, R. Gordon, B. Ferdman, L. Weiss, O. Alalouf, R. Orange, T. Michaeli, and Y. Shechtman

Detecting Deficient Coverage in Colonoscopies

D. Freedman, Y. Blau, L. Katzir, A. Aides, I. Shimshoni, D. Veikherman, T. Golany, A. Gordon, G. Corrado, Y. Matias, and E. Rivlin

Detecting Muscle Activation Using Ultrasound Speed of Sound Inversion with Deep Learning

M. Feigin, M. Zwecker, D. Freedman, and B. Anthony

Unsupervised Single Image Dehazing Using Dark Channel Prior Loss

A. Golts, D. Freedman, and M. Elad

Localization With Limited Annotation for Chest X-rays

E. Rozenberg, D. Freedman, and A. Bronstein

Deep Learning for Dense Single-Molecule Localization Microscopy

E. Nehme, L. Weiss, E. Hershko, D. Freedman, R. Gordon, B. Ferdman, T. Michaeli, and Y. Shechtman

A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound

M. Feigin, D. Freedman, and B.W. Anthony

SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels

O. Litany and D. Freedman

DeepSTORM 3D: Deep Learning for Dense 3D Localization Microscopy

E. Nehme, D. Freedman, T. Michaeli, Y. Shechtman

Toward Realistic Hands Gesture Interface: Keeping It Simple for Developers and Machines

E. Krupka, K. Karmon, N. Bloom, D. Freedman, I. Gurvich, A. Hurvitz, I. Leichter, Y. Smolin, Y. Tzairi, A. Vinnikov, and A. Bar Hillel

ASIST: Automatic Semantically Invariant Scene Transformation

O. Litany, T. Remez, D. Freedman, L. Shapira, A. Bronstein, and R. Gal

Reality Skins: Creating Immersive and Tactile Virtual Environments

L. Shapira and D. Freedman

Accurate, Robust, and Flexible Real-time Hand Tracking

T. Sharp, C. Keskin, D. Robertson, J. Taylor, J. Shotton, D. Kim, C. Rhemann, I. Leichter, A. Vinnikov, Y. Wei, D. Freedman, P. Kohli, E. Krupka, A. Fitzgibbon, and S. Izadi

Learning Fast Hand Pose Recognition

E. Krupka, A. Vinnikov, B. Klein, A. Bar-Hillel, D. Freedman, S. Stachniak, and C. Keskin

SRA: Fast Removal of General Multipath for Tof Sensors

D. Freedman, Y. Smolin, E. Krupka, I. Leichter, and M. Schmidt

Discriminative Ferns Ensemble for Hand Pose Recognition

E. Krupka, A. Vinnikov, B. Klein, A. Bar-Hillel, D. Freedman, and S. Stachniak

DFlow and DField: New Features for Capturing Object and Image Relationships

P. Kisilev, D. Freedman, E. Walach, and A. Tzadok

Efficient and Robust Image Descriptor for GUI Object Classification

A. Dubrovina, P. Kisilev, D. Freedman, S. Schein, and R. Bergman

An Improved Image Graph for Semi-Automatic Segmentation

D. Freedman

Enforcing Topological Constraints in Random Field Image Segmentation

C. Chen, D. Freedman, and C.H. Lampert

Hardness Results for Optimal Homology Bases

C. Chen and D. Freedman

Algebraic Topology for Computer Vision

D. Freedman and C. Chen

Topology Noise Removal for Curve and Surface Evolution

C. Chen and D. Freedman

KDE Paring and a Faster Mean Shift Algorithm

D. Freedman and P. Kisilev

Computing Color Transforms With Applications to Image Editing

D. Freedman and P. Kisilev

Measuring and Computing Natural Generators for Homology Groups

C. Chen and D. Freedman

Graph Cuts With Many-Pixel Interactions: Theory and Applications to Shape Modelling

D. Freedman and M.W. Turek

Parameter Tuning by Pairwise Preferences

P. Kisilev and D. Freedman

Content-Aware Image Resizing by Quadratic Programming

R. Chen, D. Freedman, Z. Karni, C. Gotsman, and L. Liu

Object-to-Object Color Transfer: Optimal Flows and SMSP Transformations

D. Freedman and P. Kisilev

Fast Inverse Halftoning

Z. Karni, D. Freedman, and D. Shaked

Hardness Results for Homology Localization

C. Chen and D. Freedman

Energy-Based Image Deformation

Z. Karni, D. Freedman, and C. Gotsman

Color Transforms for Creative Image Editing

P. Kisilev and D. Freedman

Fast Mean Shift by Compact Density Representation

D. Freedman and P. Kisilev

Energy-Based Shape Deformation

Z. Karni, D. Freedman, and C. Gotsman

Fast Data Reduction via KDE Approximation

D. Freedman and P. Kisilev

Quantifying Homology Classes

C. Chen and D. Freedman

An Incremental Algorithm for Reconstruction of Surfaces of Arbitrary Codimension

D. Freedman

Joint Segmentation-Registration of Organs Using Geometric Models

A. Ayvaci and D. Freedman

Multiscale Modeling and Constraints for Max-Flow / Min-Cut Problems in Computer Vision

M.W. Turek and D. Freedman

Model-Based Segmentation of Medical Imagery by Matching Distributions

D. Freedman, R.J. Radke, T. Zhang, Y. Jeong, D.M. Lovelock, and G.T.Y. Chen

Improving Performance of Distribution Tracking Through Background Mismatch

T. Zhang and D. Freedman

Energy Minimization via Graph Cuts: Settling What Is Possible

D. Freedman and P. Drineas

Illumination-Invariant Tracking via Graph Cuts

D. Freedman and M.W. Turek

Interactive Graph Cut Based Segmentation With Shape Priors

D. Freedman and T. Zhang

Active Contours for Tracking Distributions

D. Freedman and T. Zhang

Surface Reconstruction, One Triangle at a Time

D. Freedman

Deformable Model-Based Segmentation of 3D CT by Matching Distributions

R.J. Radke, D. Freedman, T. Zhang, Y. Jeong, and G.T.Y. Chen

Model-Based Multiobject Segmentation via Distribution Matching

D. Freedman, R.J. Radke, T. Zhang, Y. Jeong, and G.T.Y. Chen

Effective Tracking Through Tree-Search

D. Freedman

Tracking Objects Using Density Matching and Shape Priors

T. Zhang and D. Freedman

Combinatorial Curve Reconstruction in Hilbert Spaces: A New Sampling Theory and an Old Result Revisited

D. Freedman

Efficient Simplicial Reconstructions of Manifolds From Their Samples

D. Freedman

Compression of Protein Conformational Space

Y. Shao, M. Magdon-Ismail, D. Freedman, S. Akella, and C. Bystroff

Contour Tracking in Clutter: A Subset Approach

D. Freedman and M.S. Brandstein

Manifold Reconstruction From Unorganized Points

D. Freedman

Provably Fast Algorithms for Contour Tracking

D. Freedman and M.S. Brandstein

Methods of Global Optimization in the Tracking of Contours

D. Freedman and M.S. Brandstein

A Subset Approach to Contour Tracking in Clutter

D. Freedman and M.S. Brandstein

Density of Electrons in a Lateral Quantum Dot by Semi-Classical Trajectory Analysis

R. Taylor, A. Sachrajda, D. Freedman, and P. Kelly