Contact Analysis of Spatial Fixed-Axes Pairs Using Configuration Spaces. - Iddo Drori; Leo Joskowicz; Elisha Sacks (ICRA, 1999)

Wavelet Warping. - Iddo Drori; Dani Lischinski (Rendering Techniques, 2000)

Example-Based Style Synthesis. - Iddo Drori; Daniel Cohen-Or; Hezy Yeshurun (CVPR (2), 2003)

Fragment-based image completion. - Iddo Drori; Daniel Cohen-Or; Hezy Yeshurun (ACM Trans. Graph., 2003)

Bilateral mesh denoising. - Shachar Fleishman; Iddo Drori; Daniel Cohen-Or (ACM Trans. Graph., 2003)

Fast Multiresolution Image Operations in the Wavelet Domain. - Iddo Drori; Dani Lischinski (IEEE Trans. Vis. Comput. Graph., 2003)

Spectral Sound Gap Filling. - Iddo Drori; Alon Fishbach; Yehezkel Yeshurun (ICPR (2), 2004)

Interactive object segmentation in video by fitting splines to graph cuts. - Iddo Drori; Tommer Leyvand; Daniel Cohen-Or; Hezy Yeshurun (SIGGRAPH Posters, 2004)

Example-based rendering - Iddo Drori (2004)

Multiscale Representations for Manifold-Valued Data. - Inam Ur Rahman; Iddo Drori; Victoria Stodden; David L. Donoho; Peter Schröder (Multiscale Model. Simul., 2005)

Solution of l1Minimization Problems by LARS/Homotopy Methods. - Iddo Drori; David L. Donoho (ICASSP (3), 2006)

Fast ℓ1 Minimization by Iterative Thresholding for Multidimensional NMR Spectroscopy. - Iddo Drori (EURASIP J. Adv. Signal Process., 2007)

Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit. - David L. Donoho; Yaakov Tsaig; Iddo Drori; Jean-Luc Starck (IEEE Trans. Inf. Theory, 2012)

High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures. - Iddo Drori; Isht Dwivedi; Pranav Shrestha; Jeffrey Wan; Yueqi Wang; Yunchu He; Anthony Mazza; Hugh Krogh-Freeman; Dimitri Leggas; Kendal Sandridge; Linyong Nan; Kaveri A. Thakoor; et al. (CoRR, 2018)

Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar. - Iddo Drori; Yamuna Krishnamurthy; Raoni Lourenço; Rémi Rampin; Kyunghyun Cho; Cláudio T. Silva; Juliana Freire (CoRR, 2019)

Particle Smoothing Variational Objectives. - Antonio Khalil Moretti; Zizhao Wang; Luhuan Wu; Iddo Drori; Itsik Pe'er (CoRR, 2019)

Prose for a Painting. - Prerna Kashyap; Samrat Phatale; Iddo Drori (CoRR, 2019)

AutoML using Metadata Language Embeddings. - Iddo Drori; Lu Liu; Yi Nian; Sharath C. Koorathota; Jie S. Li; Antonio Khalil Moretti; Juliana Freire; Madeleine Udell (CoRR, 2019)

Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities. - Samuel Sharpe; Jin Yan; Fan Wu; Iddo Drori (CoRR, 2019)

Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge. - Antonia Lovjer; Minsu Yeom; Benedikt D. Schifferer; Iddo Drori (CoRR, 2019)

Winning the ICCV 2019 Learning to Drive Challenge. - Michael Diodato; Yu Li; Manik Goyal; Iddo Drori (CoRR, 2019)

Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning. - Qiang Ma; Suwen Ge; Danyang He; Darshan Thaker; Iddo Drori (CoRR, 2019)

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations. - Iddo Drori; Darshan Thaker; Arjun Srivatsa; Daniel Jeong; Yueqi Wang; Linyong Nan; Fan Wu; Dimitri Leggas; Jinhao Lei; Weiyi Lu; Weilong Fu; Yuan Gao; et al. (CoRR, 2019)

Accurate Trajectory Prediction for Autonomous Vehicles. - Michael Diodato; Yu Li; Antonia Lovjer; Minsu Yeom; Albert Song; Yiyang Zeng; Abhay Khosla; Benedikt D. Schifferer; Manik Goyal; Iddo Drori (CoRR, 2019)

Variational Objectives for Markovian Dynamics with Backward Simulation. - Antonio Khalil Moretti; Zizhao Wang; Luhuan Wu; Iddo Drori; Itsik Pe'er (ECAI, 2020)

Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. - Iddo Drori; Anant Kharkar; William R. Sickinger; Brandon Kates; Qiang Ma 004; Suwen Ge; Eden Dolev; Brenda Dietrich; David P. Williamson; Madeleine Udell (ICMLA, 2020)

Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models. - Nick Lamm; Shashank Jaiprakash; Malavika Srikanth; Iddo Drori (CoRR, 2020)

High Quality Real-Time Structured Debate Generation. - Eric Bolton; Alex Calderwood; Niles Christensen; Jerome Kafrouni; Iddo Drori (CoRR, 2020)

Pedestrian Wind Factor Estimation in Complex Urban Environments. - Sarah Mokhtar; Matthew Beveridge; Yumeng Melody Cao; Iddo Drori (ACML, 2021)

Solving Machine Learning Problems. - Sunny Tran; Pranav Krishna; Ishan Pakuwal; Prabhakar Kafle; Nikhil Singh 003; Jayson Lynch; Iddo Drori (ACML, 2021)

Solving the Families In the Wild Kinship Verification Challenge by Program Synthesis. - Junyi Huang; Maxwell Benjamin Strome; Ian Jenkins; Parker Williams; Bo Feng; Yaning Wang; Roman Wang; Vaibhav Bagri; Newman Cheng; Iddo Drori (FG, 2021)

Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis. - Nikhil Singh 003; Jeff Mentch; Jerry Ng; Matthew Beveridge; Iddo Drori (ICCV, 2021)

Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop. - Alexander E. Siemenn; Matthew Beveridge; Tonio Buonassisi; Iddo Drori (CoRR, 2021)

Autonomous Optimization of Fluid Systems at Varying Length Scales. - Alexander E. Siemenn; Evyatar Shaulsky; Matthew Beveridge; Tonio Buonassisi; Sara M. Hashmi; Iddo Drori (CoRR, 2021)

Privileged Zero-Shot AutoML. - Nikhil Singh 003; Brandon Kates; Jeff Mentch; Anant Kharkar; Madeleine Udell; Iddo Drori (CoRR, 2021)

Image2Lego: Customized LEGO Set Generation from Images. - Kyle Lennon; Katharina Fransen; Alexander O'Brien; Yumeng Melody Cao; Matthew Beveridge; Yamin Arefeen; Nikhil Singh 003; Iddo Drori (CoRR, 2021)

Top 3 in FG 2021 Families In the Wild Kinship Verification Challenge. - Junyi Huang; Maxwell Benjamin Strome; Ian Jenkins; Parker Williams; Bo Feng; Yaning Wang; Roman Wang; Vaibhav Bagri; Newman Cheng; Iddo Drori (CoRR, 2021)

Predicting Atlantic Multidecadal Variability. - Glenn Liu; Peidong Wang; Matthew Beveridge; Young-Oh Kwon; Iddo Drori (CoRR, 2021)

Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring. - Ellen Park; Jae Deok Kim; Nadège Aoki; Yumeng Melody Cao; Yamin Arefeen; Matthew Beveridge; David Nicholson; Iddo Drori (CoRR, 2021)

AlphaD3M: Machine Learning Pipeline Synthesis. - Iddo Drori; Yamuna Krishnamurthy; Rémi Rampin; Raoni de Paula Lourenço; Jorge Piazentin Ono; Kyunghyun Cho; Cláudio T. Silva; Juliana Freire (CoRR, 2021)

Solving Linear Algebra by Program Synthesis. - Iddo Drori; Nakul Verma (CoRR, 2021)

Solving Probability and Statistics Problems by Program Synthesis. - Leonard Tang; Elizabeth Ke; Nikhil Singh 003; Nakul Verma; Iddo Drori (CoRR, 2021)

Tracking Blobs in the Turbulent Edge Plasma of Tokamak Fusion Reactors. - Woonghee Han; Randall A. Pietersen; Rafael Villamor-Lora; Matthew Beveridge; Nicola Offeddu; Theodore Golfinopoulos; Christian Theiler; James L. Terry; Earl S. Marmar; Iddo Drori (CoRR, 2021)

A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More. - Iddo Drori; Sunny Tran; Roman Wang; Newman Cheng; Kevin Liu; Leonard Tang; Elizabeth Ke; Nikhil Singh 003; Taylor L. Patti; Jayson Lynch; Avi Shporer; Nakul Verma; et al. (CoRR, 2021)

Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability. - Leonard Tang; Elizabeth Ke; Nikhil Singh 003; Bo Feng; Derek Austin; Nakul Verma; Iddo Drori (AIED (2), 2022)

Generalizing Imaging Through Scattering Media With Uncertainty Estimates. - Jared M. Cochrane; Matthew Beveridge; Iddo Drori (WACV (Workshops), 2022)

A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams. - Sarah J. Zhang; Reece Shuttleworth; Derek Austin; Yann Hicke; Leonard Tang; Sathwik Karnik; Darnell Granberry; Iddo Drori (CoRR, 2022)

Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. - Vitali Petsiuk; Alexander E. Siemenn; Saisamrit Surbehera; Zad Chin; Keith Tyser; Gregory Hunter; Arvind Raghavan; Yann Hicke; Bryan A. Plummer; Ori Kerret; Tonio Buonassisi; Kate Saenko; et al. (CoRR, 2022)

A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. - Iddo Drori; Sarah J. Zhang; Zad Chin; Reece Shuttleworth; Albert Lu; Linda Chen; Bereket Birbo; Michele He; Pedro Lantigua; Sunny Tran; Gregory Hunter; Bo Feng; et al. (AAAI, 2023)

From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. - Iddo Drori; Sarah J. Zhang; Reece Shuttleworth; Sarah Zhang; Keith Tyser; Zad Chin; Pedro Lantigua; Saisamrit Surbehera; Gregory Hunter; Derek Austin; Leonard Tang; Yann Hicke; et al. (KDD, 2023)

AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews. - Keith Tyser; Ben Segev; Gaston Longhitano; Xin-Yu Zhang; Zachary Meeks; Jason Lee; Uday Garg; Nicholas Belsten; Avi Shporer; Madeleine Udell; Dov Te'eni; Iddo Drori (CoRR, 2024)

Human-in-the-Loop AI Reviewing: Feasibility, Opportunities, and Risks. - Iddo Drori; Dov Te'eni (J. Assoc. Inf. Syst., 2024)

Diverse Inference and Verification for Advanced Reasoning. - Iddo Drori; Gaston Longhitano; Mao Mao; Seunghwan Hyun; Yuke Zhang; Sungjun Park; Zachary Meeks; Xin-Yu Zhang; Ben Segev; Howard Yong; Nakul Verma; Avi Shporer; et al. (CoRR, 2025)