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2020 – today
- 2024
[j7]Iddo Drori, Dov Te'eni:
Human-in-the-Loop AI Reviewing: Feasibility, Opportunities, and Risks. J. Assoc. Inf. Syst. 25(1): 7 (2024)- [i32]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:
AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews. CoRR abs/2408.10365 (2024) - 2023
- [c16]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, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama:
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. AAAI 2023: 15921-15929 - [c15]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, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell:
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. KDD 2023: 3947-3955 - 2022
- [c14]Leonard Tang, Elizabeth Ke, Nikhil Singh, Bo Feng, Derek Austin, Nakul Verma, Iddo Drori:
Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability. AIED (2) 2022: 612-615 - [c13]Jared M. Cochrane, Matthew Beveridge, Iddo Drori:
Generalizing Imaging Through Scattering Media With Uncertainty Estimates. WACV (Workshops) 2022: 760-766 - [i31]Sarah J. Zhang, Reece Shuttleworth, Derek Austin, Yann Hicke, Leonard Tang, Sathwik Karnik, Darnell Granberry, Iddo Drori:
A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams. CoRR abs/2206.05442 (2022) - [i30]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, Armando Solar-Lezama, Iddo Drori:
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. CoRR abs/2211.12112 (2022) - 2021
- [c12]Sunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh, Jayson Lynch, Iddo Drori:
Solving Machine Learning Problems. ACML 2021: 470-485 - [c11]Sarah Mokhtar, Matthew Beveridge, Yumeng Melody Cao, Iddo Drori:
Pedestrian Wind Factor Estimation in Complex Urban Environments. ACML 2021: 486-501 - [c10]Junyi Huang, Maxwell Benjamin Strome, Ian Jenkins, Parker Williams, Bo Feng, Yaning Wang, Roman Wang, Vaibhav Bagri, Newman Cheng, Iddo Drori:
Solving the Families In the Wild Kinship Verification Challenge by Program Synthesis. FG 2021: 1-5 - [c9]Nikhil Singh, Jeff Mentch, Jerry Ng, Matthew Beveridge, Iddo Drori:
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis. ICCV 2021: 286-295 - [i29]Nikhil Singh, Jeff Mentch, Jerry Ng, Matthew Beveridge, Iddo Drori:
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis. CoRR abs/2103.14201 (2021) - [i28]Alexander E. Siemenn, Matthew Beveridge, Tonio Buonassisi, Iddo Drori:
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop. CoRR abs/2105.02858 (2021) - [i27]Alexander E. Siemenn, Evyatar Shaulsky, Matthew Beveridge, Tonio Buonassisi, Sara M. Hashmi, Iddo Drori:
Autonomous Optimization of Fluid Systems at Varying Length Scales. CoRR abs/2105.13553 (2021) - [i26]Nikhil Singh, Brandon Kates, Jeff Mentch, Anant Kharkar, Madeleine Udell, Iddo Drori:
Privileged Zero-Shot AutoML. CoRR abs/2106.13743 (2021) - [i25]Sunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh, Jayson Lynch, Iddo Drori:
Solving Machine Learning Problems. CoRR abs/2107.01238 (2021) - [i24]Kyle Lennon, Katharina Fransen, Alexander O'Brien, Yumeng Melody Cao, Matthew Beveridge, Yamin Arefeen, Nikhil Singh, Iddo Drori:
Image2Lego: Customized LEGO Set Generation from Images. CoRR abs/2108.08477 (2021) - [i23]Sarah Mokhtar, Matthew Beveridge, Yumeng Melody Cao, Iddo Drori:
Pedestrian Wind Factor Estimation in Complex Urban Environments. CoRR abs/2110.02443 (2021) - [i22]Junyi Huang, Maxwell Benjamin Strome, Ian Jenkins, Parker Williams, Bo Feng, Yaning Wang, Roman Wang, Vaibhav Bagri, Newman Cheng, Iddo Drori:
Top 3 in FG 2021 Families In the Wild Kinship Verification Challenge. CoRR abs/2110.07020 (2021) - [i21]Glenn Liu, Peidong Wang, Matthew Beveridge, Young-Oh Kwon, Iddo Drori:
Predicting Atlantic Multidecadal Variability. CoRR abs/2111.00124 (2021) - [i20]Ellen Park, Jae Deok Kim, Nadège Aoki, Yumeng Melody Cao, Yamin Arefeen, Matthew Beveridge, David Nicholson, Iddo Drori:
Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring. CoRR abs/2111.00126 (2021) - [i19]Iddo Drori, Yamuna Krishnamurthy, Rémi Rampin, Raoni de Paula Lourenço, Jorge Piazentin Ono, Kyunghyun Cho, Cláudio T. Silva, Juliana Freire:
AlphaD3M: Machine Learning Pipeline Synthesis. CoRR abs/2111.02508 (2021) - [i18]Iddo Drori, Nakul Verma:
Solving Linear Algebra by Program Synthesis. CoRR abs/2111.08171 (2021) - [i17]Leonard Tang, Elizabeth Ke, Nikhil Singh, Nakul Verma, Iddo Drori:
Solving Probability and Statistics Problems by Program Synthesis. CoRR abs/2111.08267 (2021) - [i16]Woonghee Han, Randall A. Pietersen, Rafael Villamor-Lora, Matthew Beveridge, Nicola Offeddu, Theodore Golfinopoulos, Christian Theiler, James L. Terry, Earl S. Marmar, Iddo Drori:
Tracking Blobs in the Turbulent Edge Plasma of Tokamak Fusion Reactors. CoRR abs/2111.08570 (2021) - [i15]Iddo Drori, Sunny Tran, Roman Wang, Newman Cheng, Kevin Liu, Leonard Tang, Elizabeth Ke, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang:
A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More. CoRR abs/2112.15594 (2021) - 2020
- [c8]Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er:
Variational Objectives for Markovian Dynamics with Backward Simulation. ECAI 2020: 1371-1378 - [c7]Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell:
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. ICMLA 2020: 19-24 - [i14]Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell:
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. CoRR abs/2006.03750 (2020) - [i13]Nick Lamm, Shashank Jaiprakash, Malavika Srikanth, Iddo Drori:
Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models. CoRR abs/2007.06781 (2020) - [i12]Eric Bolton, Alex Calderwood, Niles Christensen, Jerome Kafrouni, Iddo Drori:
High Quality Real-Time Structured Debate Generation. CoRR abs/2012.00209 (2020)
2010 – 2019
- 2019
- [i11]Iddo Drori, Yamuna Krishnamurthy, Raoni Lourenço, Rémi Rampin, Kyunghyun Cho, Cláudio T. Silva, Juliana Freire:
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar. CoRR abs/1905.10345 (2019) - [i10]Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er:
Particle Smoothing Variational Objectives. CoRR abs/1909.09734 (2019) - [i9]Prerna Kashyap, Samrat Phatale, Iddo Drori:
Prose for a Painting. CoRR abs/1910.03634 (2019) - [i8]Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell:
AutoML using Metadata Language Embeddings. CoRR abs/1910.03698 (2019) - [i7]Samuel Sharpe, Jin Yan, Fan Wu, Iddo Drori:
Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities. CoRR abs/1910.04887 (2019) - [i6]Antonia Lovjer, Minsu Yeom, Benedikt D. Schifferer, Iddo Drori:
Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge. CoRR abs/1910.10317 (2019) - [i5]Michael Diodato, Yu Li, Manik Goyal, Iddo Drori:
Winning the ICCV 2019 Learning to Drive Challenge. CoRR abs/1910.10318 (2019) - [i4]Qiang Ma, Suwen Ge, Danyang He, Darshan Thaker, Iddo Drori:
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning. CoRR abs/1911.04936 (2019) - [i3]Iddo Drori, Darshan Thaker, Arjun Srivatsa, Daniel Jeong, Yueqi Wang, Linyong Nan, Fan Wu, Dimitri Leggas, Jinhao Lei, Weiyi Lu, Weilong Fu, Yuan Gao, Sashank Karri, Anand Kannan, Antonio Khalil Moretti, Mohammed AlQuraishi, Chen Keasar, Itsik Pe'er:
Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations. CoRR abs/1911.05531 (2019) - [i2]Michael Diodato, Yu Li, Antonia Lovjer, Minsu Yeom, Albert Song, Yiyang Zeng, Abhay Khosla, Benedikt D. Schifferer, Manik Goyal, Iddo Drori:
Accurate Trajectory Prediction for Autonomous Vehicles. CoRR abs/1911.08568 (2019) - 2018
- [i1]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, Chinmay Joshi, Sonam Goenka, Chen Keasar, Itsik Pe'er:
High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures. CoRR abs/1811.07143 (2018) - 2012
- [j6]David L. Donoho, Yaakov Tsaig, Iddo Drori, Jean-Luc Starck:
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit. IEEE Trans. Inf. Theory 58(2): 1094-1121 (2012)
2000 – 2009
- 2007
- [j5]Iddo Drori:
Fast ℓ1 Minimization by Iterative Thresholding for Multidimensional NMR Spectroscopy. EURASIP J. Adv. Signal Process. 2007 (2007) - 2006
- [c6]Iddo Drori, David L. Donoho:
Solution of l1Minimization Problems by LARS/Homotopy Methods. ICASSP (3) 2006: 636-639 - 2005
- [j4]Inam Ur Rahman, Iddo Drori, Victoria Stodden, David L. Donoho, Peter Schröder:
Multiscale Representations for Manifold-Valued Data. Multiscale Model. Simul. 4(4): 1201-1232 (2005) - 2004
- [b1]Iddo Drori:
Example-based rendering. Tel Aviv University, Israel, 2004 - [c5]Iddo Drori, Alon Fishbach, Yehezkel Yeshurun:
Spectral Sound Gap Filling. ICPR (2) 2004: 871-874 - [c4]Iddo Drori, Tommer Leyvand, Daniel Cohen-Or, Hezy Yeshurun:
Interactive object segmentation in video by fitting splines to graph cuts. SIGGRAPH Posters 2004: 59 - 2003
- [j3]Iddo Drori, Daniel Cohen-Or, Hezy Yeshurun:
Fragment-based image completion. ACM Trans. Graph. 22(3): 303-312 (2003) - [j2]Shachar Fleishman, Iddo Drori, Daniel Cohen-Or:
Bilateral mesh denoising. ACM Trans. Graph. 22(3): 950-953 (2003) - [j1]Iddo Drori, Dani Lischinski:
Fast Multiresolution Image Operations in the Wavelet Domain. IEEE Trans. Vis. Comput. Graph. 9(3): 395-411 (2003) - [c3]Iddo Drori, Daniel Cohen-Or, Hezy Yeshurun:
Example-Based Style Synthesis. CVPR (2) 2003: 143-150 - 2000
- [c2]Iddo Drori, Dani Lischinski:
Wavelet Warping. Rendering Techniques 2000: 113-124
1990 – 1999
- 1999
- [c1]Iddo Drori, Leo Joskowicz, Elisha Sacks:
Contact Analysis of Spatial Fixed-Axes Pairs Using Configuration Spaces. ICRA 1999: 578-584
Coauthor Index
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