Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network. - Amnon Shashua; Shimon Ullman (ICCV, 1988)

Grouping Contours by Iterated Pairing Networks. - Amnon Shashua; Shimon Ullman (NIPS, 1990)

Illumination and View Position in 3D Visual Recognition. - Amnon Shashua (NIPS, 1991)

On Geomatric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views. - Amnon Shashua (Applications of Invariance in Computer Vision, 1993)

Projective depth: A geometric invariant for 3D reconstruction from two perspective/orthographic views and for visual recognition. - Amnon Shashua (ICCV, 1993)

Relative affine structure: theory and application to 3D reconstruction from perspective views. - Amnon Shashua; Nassir Navab (CVPR, 1994)

Trilinearity in Visual Recognition by Alignment. - Amnon Shashua (ECCV (1), 1994)

The Quadric Reference Surface: Applications in Registering Views of Complex 3D Objects. - Amnon Shashua; Sebastian Tölg (ECCV (2), 1994)

Projective Structure from Uncalibrated Images: Structure From Motion and Recognition. - Amnon Shashua (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

Multiple-View Geometry and Photometry. - Amnon Shashua (ACCV, 1995)

Trilinearity of Three Perspective Views and its Associated Tensor. - Amnon Shashua; Michael Werman (ICCV, 1995)

The Study of 3D-from-2D Using Elimination. - Michael Werman; Amnon Shashua (ICCV, 1995)

Algebraic Functions For Recognition. - Amnon Shashua (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Robust Recovery of Camera Rotation from Three Frames. - Benny Rousso; Shai Avidan; Amnon Shashua; Shmuel Peleg (CVPR, 1996)

The Rank 4 Constraint in Multiple (>=3) View Geometry. - Amnon Shashua; Shai Avidan (ECCV (2), 1996)

Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors. - Daphna Weinshall; Michael Werman; Amnon Shashua (ECCV (2), 1996)

Relative Affine Structure: Canonical Model for 3D From 2D Geometry and Applications. - Amnon Shashua; Nassir Navab (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Trilinear Tensor: The Fundamental Construct of Multiple-view Geometry and Its Applications. - Amnon Shashua (AFPAC, 1997)

Novel view synthesis in tensor space. - Shai Avidan; Amnon Shashua (CVPR, 1997)

Image-based view synthesis by combining trilinear tensors and learning techniques. - Shai Avidan; Theodoros Evgeniou; Amnon Shashua; Tomaso A. Poggio (VRST, 1997)

On Photometric Issues in 3D Visual Recognition from a Single 2D Image. - Amnon Shashua (Int. J. Comput. Vis., 1997)

The Quadric Reference Surface: Theory and Applications. - Amnon Shashua; Sebastian Tölg (Int. J. Comput. Vis., 1997)

Direct Estimation of Motion and Extended Scene Structure from a Moving Stereo Rig. - Gideon P. Stein; Amnon Shashua (CVPR, 1998)

Ambiguity in Reconstruction from Images of Six Points. - Stephen J. Maybank; Amnon Shashua (ICCV, 1998)

Tensor Embedding of the Fundamental Matrix. - Shai Avidan; Amnon Shashua (SMILE, 1998)

Omni-Rig sensors: what can be done with a non-rigid vision platform? - Amnon Shashua (WACV, 1998)

Novel View Synthesis by Cascading Trilinear Tensors. - Shai Avidan; Amnon Shashua (IEEE Trans. Vis. Comput. Graph., 1998)

Trajectory Triangulation of Lines: Reconstruction of a 3D point Moving along a Line from a Monocular Image Sequence. - Shai Avidan; Amnon Shashua (CVPR, 1999)

The Quotient Image: Class Based Recognition and Synthesis under Varying Illumination Conditions. - Tammy Riklin-Raviv; Amnon Shashua (CVPR, 1999)

Trajectory Triangulation over Conic Sections. - Amnon Shashua; Shai Avidan; Michael Werman (ICCV, 1999)

On the Relationship Between the Support Vector Machine for Classification and Sparsified Fisher's Linear Discriminant. - Amnon Shashua (Neural Process. Lett., 1999)

On Degeneracy of Linear Reconstruction From Three Views: Linear Line Complex and Applications. - Gideon P. Stein; Amnon Shashua (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

On the Synthesis of Dynamic Scenes from Reference Views. - Yonatan Wexler; Amnon Shashua (CVPR, 2000)

On Calibration and Reconstruction from Planar Curves. - Jeremy Yermiyahou Kaminski; Amnon Shashua (ECCV (1), 2000)

3D Reconstruction from Tangent-of-Sight Measurements of a Moving Object Seen from a Moving Camera. - Dana Segal; Amnon Shashua (ECCV (1), 2000)

On the Reprojection of 3D and 2D Scenes Without Explicit Model Selection. - Amnon Shashua; Shai Avidan (ECCV (1), 2000)

Homography Tensors: On Algebraic Entities that Represent Three Views of Static or Moving Planar Points. - Amnon Shashua; Lior Wolf (ECCV (1), 2000)

On the Structure and Properties of the Quadrifocal Tensor. - Amnon Shashua; Lior Wolf (ECCV (1), 2000)

Join Tensors: On 3D-to-3D Alignment of Dynamic Sets. - Lior Wolf; Amnon Shashua; Yonatan Wexler (ICPR, 2000)

Trajectory Triangulation: 3D Reconstruction of Moving Points from a Monocular Image Sequence. - Shai Avidan; Amnon Shashua (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion. - Gideon P. Stein; Amnon Shashua (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Time-varying Shape Tensors for Scenes with Multiply Moving Points. - Anat Levin; Lior Wolf; Amnon Shashua (CVPR (1), 2001)

Linear Image Coding for Regression and Classification using the Tensor-rank Principle. - Amnon Shashua; Anat Levin (CVPR (1), 2001)

Two-body Segmentation from Two Perspective Views. - Lior Wolf; Amnon Shashua (CVPR (1), 2001)

Multiple View Geometry of Non-planar Algebraic Curves. - Jeremy Yermiyahou Kaminski; Michael Fryers; Amnon Shashua; Mina Teicher (ICCV, 2001)

Multi-Frame Infinitesimal Motion Model for the Reconstruction of (Dynamic) Scenes with Multiple Linearly Moving Objects. - Amnon Shashua; Anat Levin (ICCV, 2001)

On Projection Matrices and their Applications in Computer Vision. - Lior Wolf; Amnon Shashua (ICCV, 2001)

Affine 3-D Reconstruction from Two Projective Images of Independently Translating Planes. - Lior Wolf; Amnon Shashua (ICCV, 2001)

Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters. - Assaf Zomet; Lior Wolf; Amnon Shashua (ICCV, 2001)

Threading Fundamental Matrices. - Shai Avidan; Amnon Shashua (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations. - Amnon Shashua; Tammy Riklin-Raviv (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Q-Warping: Direct Computation of Quadratic Reference Surfaces. - Amnon Shashua; Yonatan Wexler (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Revisiting Single-View Shape Tensors: Theory and Applications. - Anat Levin; Amnon Shashua (ECCV (2), 2002)

Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces. - Anat Levin; Amnon Shashua (ECCV (3), 2002)

Manifold Pursuit: A New Approach to Appearance Based Recognition. - Amnon Shashua; Anat Levin; Shai Avidan (ICPR (3), 2002)

Ranking with Large Margin Principle: Two Approaches. - Amnon Shashua; Anat Levin (NIPS, 2002)

Guest Editorial. - Kiriakos N. Kutulakos; Amnon Shashua (Int. J. Comput. Vis., 2002)

On Projection Matrices Pk-> P2k=3, ..., 6, and their Applications in Computer Vision. - Lior Wolf; Amnon Shashua (Int. J. Comput. Vis., 2002)

Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation. - Lior Wolf; Amnon Shashua (CVPR (1), 2003)

Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach. - Lior Wolf; Amnon Shashua (ICCV, 2003)

Learning over Sets using Kernel Principal Angles. - Lior Wolf; Amnon Shashua (J. Mach. Learn. Res., 2003)

Kernel Feature Selection with Side Data Using a Spectral Approach. - Amnon Shashua; Lior Wolf (ECCV (3), 2004)

Algebraic Set Kernels with Application to Inference Over Local Image Representations. - Amnon Shashua; Tamir Hazan (NIPS, 2004)

Multiple View Geometry of General Algebraic Curves. - Jeremy Yermiyahou Kaminski; Amnon Shashua (Int. J. Comput. Vis., 2004)

A Computer Vision System on a Chip: a case study from the automotive domain. - Gideon P. Stein; Elchanan Rushinek; Gaby Hayun; Amnon Shashua (CVPR Workshops, 2005)

Gene Selection via a Spectral Approach. - Lior Wolf; Amnon Shashua; Sayan Mukherjee 001 (CVPR Workshops, 2005)

Sparse Image Coding Using a 3D Non-Negative Tensor Factorization. - Tamir Hazan; Simon Polak; Amnon Shashua (ICCV, 2005)

A Unifying Approach to Hard and Probabilistic Clustering. - Ron Zass; Amnon Shashua (ICCV, 2005)

Non-negative tensor factorization with applications to statistics and computer vision. - Amnon Shashua; Tamir Hazan (ICML, 2005)

Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach. - Lior Wolf; Amnon Shashua (J. Mach. Learn. Res., 2005)

Off-road Path Following using Region Classification and Geometric Projection Constraints. - Yaniv Alon; Andras Ferencz; Amnon Shashua (CVPR (1), 2006)

Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization. - Amnon Shashua; Ron Zass; Tamir Hazan (ECCV (4), 2006)

Nonnegative Sparse PCA. - Ron Zass; Amnon Shashua (NIPS, 2006)

Doubly Stochastic Normalization for Spectral Clustering. - Ron Zass; Amnon Shashua (NIPS, 2006)

The Golem Group/University of California at Los Angeles autonomous ground vehicle in the DARPA grand challenge. - Richard Mason; Jim Radford; Deepak Kumar; Robert Walters; Brian Fulkerson; Eagle Jones; David Caldwell; Jason Meltzer; Yaniv Alon; Amnon Shashua; Hiroshi Hattori; Emilio Frazzoli; et al. (J. Field Robotics, 2006)

pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm. - Tamir Hazan; Roee Hardoon; Amnon Shashua (ICCV, 2007)

Latent Model Clustering and Applications to Visual Recognition. - Simon Polak; Amnon Shashua (ICCV, 2007)

A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality. - Tamir Hazan; Amit Man; Amnon Shashua (CVPR, 2008)

Probabilistic graph and hypergraph matching. - Ron Zass; Amnon Shashua (CVPR, 2008)

Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies. - Tamir Hazan; Amnon Shashua (UAI, 2008)

Introduction to Machine Learning: Class Notes 67577 - Amnon Shashua (CoRR, 2009)

The Semi-explicit Shape Model for Multi-object Detection and Classification. - Simon Polak; Amnon Shashua (ECCV (2), 2010)

Stereo-Assist: Top-down stereo for driver assistance systems. - Gideon P. Stein; Yoram Gdalyahu; Amnon Shashua (Intelligent Vehicles Symposium, 2010)

The Latent Bernoulli-Gauss Model for Data Analysis - Amnon Shashua; Gabi Pragier (CoRR, 2010)

Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference. - Tamir Hazan; Amnon Shashua (IEEE Trans. Inf. Theory, 2010)

ShareBoost: Efficient multiclass learning with feature sharing. - Shai Shalev-Shwartz; Yonatan Wexler; Amnon Shashua (NIPS, 2011)

Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs. - Tamir Hazan; Jian Peng 001; Amnon Shashua (UAI, 2012)

SimNets: A Generalization of Convolutional Networks. - Nadav Cohen 001; Amnon Shashua (CoRR, 2014)

On the Expressive Power of Deep Learning: A Tensor Analysis. - Nadav Cohen 001; Or Sharir; Amnon Shashua (COLT, 2016)

Deep SimNets. - Nadav Cohen 001; Or Sharir; Amnon Shashua (CVPR, 2016)

Convolutional Rectifier Networks as Generalized Tensor Decompositions. - Nadav Cohen 001; Amnon Shashua (ICML, 2016)

Learning a Metric Embedding for Face Recognition using the Multibatch Method. - Oren Tadmor; Tal Rosenwein; Shai Shalev-Shwartz; Yonatan Wexler; Amnon Shashua (NIPS, 2016)

Long-term Planning by Short-term Prediction. - Shai Shalev-Shwartz; Nir Ben-Zrihem; Aviad Cohen 003; Amnon Shashua (CoRR, 2016)

On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training. - Shai Shalev-Shwartz; Amnon Shashua (CoRR, 2016)

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving. - Shai Shalev-Shwartz; Shaked Shammah; Amnon Shashua (CoRR, 2016)

Tensorial Mixture Models. - Or Sharir; Ronen Tamari; Nadav Cohen 001; Amnon Shashua (CoRR, 2016)

Inductive Bias of Deep Convolutional Networks through Pooling Geometry. - Nadav Cohen 001; Amnon Shashua (ICLR (Poster), 2017)

Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions. - Nadav Cohen 001; Or Sharir; Yoav Levine; Ronen Tamari; David Yakira; Amnon Shashua (CoRR, 2017)

On the Expressive Power of Overlapping Operations of Deep Networks. - Or Sharir; Amnon Shashua (CoRR, 2017)

On a Formal Model of Safe and Scalable Self-driving Cars. - Shai Shalev-Shwartz; Shaked Shammah; Amnon Shashua (CoRR, 2017)

Sum-Product-Quotient Networks. - Or Sharir; Amnon Shashua (AISTATS, 2018)

Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions. - Nadav Cohen 001; Ronen Tamari; Amnon Shashua (ICLR, 2018)

Benefits of Depth for Long-Term Memory of Recurrent Networks. - Yoav Levine; Or Sharir; Amnon Shashua (ICLR (Workshop), 2018)

Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. - Yoav Levine; David Yakira; Nadav Cohen 001; Amnon Shashua (ICLR (Poster), 2018)

On the Expressive Power of Overlapping Architectures of Deep Learning. - Or Sharir; Amnon Shashua (ICLR (Poster), 2018)

Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks. - Yoav Levine; Or Sharir; Nadav Cohen 001; Amnon Shashua (CoRR, 2018)

Vision Zero: on a Provable Method for Eliminating Roadway Accidents without Compromising Traffic Throughput. - Shai Shalev-Shwartz; Shaked Shammah; Amnon Shashua (CoRR, 2019)

Deep autoregressive models for the efficient variational simulation of many-body quantum systems. - Or Sharir; Yoav Levine; Noam Wies; Giuseppe Carleo; Amnon Shashua (CoRR, 2019)

SenseBERT: Driving Some Sense into BERT. - Yoav Levine; Barak Lenz; Or Dagan; Dan Padnos; Or Sharir; Shai Shalev-Shwartz; Amnon Shashua; Yoav Shoham (CoRR, 2019)

SenseBERT: Driving Some Sense into BERT. - Yoav Levine; Barak Lenz; Or Dagan; Ori Ram; Dan Padnos; Or Sharir; Shai Shalev-Shwartz; Amnon Shashua; Yoav Shoham (ACL, 2020)

Limits to Depth Efficiencies of Self-Attention. - Yoav Levine; Noam Wies; Or Sharir; Hofit Bata; Amnon Shashua (NeurIPS, 2020)

On the Ethics of Building AI in a Responsible Manner. - Shai Shalev-Shwartz; Shaked Shammah; Amnon Shashua (CoRR, 2020)

Which transformer architecture fits my data? A vocabulary bottleneck in self-attention. - Noam Wies; Yoav Levine; Daniel Jannai; Amnon Shashua (ICML, 2021)

Neural tensor contractions and the expressive power of deep neural quantum states. - Or Sharir; Amnon Shashua; Giuseppe Carleo (CoRR, 2021)

The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design. - Yoav Levine; Noam Wies; Daniel Jannai; Dan Navon; Yedid Hoshen; Amnon Shashua (ICLR, 2022)

Standing on the Shoulders of Giant Frozen Language Models. - Yoav Levine; Itay Dalmedigos; Ori Ram; Yoel Zeldes; Daniel Jannai; Dor Muhlgay; Yoni Osin; Opher Lieber; Barak Lenz; Shai Shalev-Shwartz; Amnon Shashua; Kevin Leyton-Brown; et al. (CoRR, 2022)

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. - Ehud Karpas; Omri Abend; Yonatan Belinkov; Barak Lenz; Opher Lieber; Nir Ratner; Yoav Shoham; Hofit Bata; Yoav Levine; Kevin Leyton-Brown; Dor Muhlgay; Noam Rozen; et al. (CoRR, 2022)

Parallel Context Windows Improve In-Context Learning of Large Language Models. - Nir Ratner; Yoav Levine; Yonatan Belinkov; Ori Ram; Omri Abend; Ehud Karpas; Amnon Shashua; Kevin Leyton-Brown; Yoav Shoham (CoRR, 2022)

Parallel Context Windows for Large Language Models. - Nir Ratner; Yoav Levine; Yonatan Belinkov; Ori Ram; Inbal Magar; Omri Abend; Ehud Karpas; Amnon Shashua; Kevin Leyton-Brown; Yoav Shoham (ACL (1), 2023)

Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks. - Noam Wies; Yoav Levine; Amnon Shashua (ICLR, 2023)

The Learnability of In-Context Learning. - Noam Wies; Yoav Levine; Amnon Shashua (NeurIPS, 2023)

Fundamental Limitations of Alignment in Large Language Models. - Yotam Wolf; Noam Wies; Yoav Levine; Amnon Shashua (CoRR, 2023)

In-Context Retrieval-Augmented Language Models. - Ori Ram; Yoav Levine; Itay Dalmedigos; Dor Muhlgay; Amnon Shashua; Kevin Leyton-Brown; Yoav Shoham (Trans. Assoc. Comput. Linguistics, 2023)

Generating Benchmarks for Factuality Evaluation of Language Models. - Dor Muhlgay; Ori Ram; Inbal Magar; Yoav Levine; Nir Ratner; Yonatan Belinkov; Omri Abend; Kevin Leyton-Brown; Amnon Shashua; Yoav Shoham (EACL (1), 2024)

Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework. - Eliya Segev; Maya Alroy; Ronen Katsir; Noam Wies; Ayana Shenhav; Yael Ben-Oren; David Zar; Oren Tadmor; Jacob Bitterman; Amnon Shashua; Tal Rosenwein (ICLR, 2024)

Fundamental Limitations of Alignment in Large Language Models. - Yotam Wolf; Noam Wies; Oshri Avnery; Yoav Levine; Amnon Shashua (ICML, 2024)

Tradeoffs Between Alignment and Helpfulness in Language Models. - Yotam Wolf; Noam Wies; Dorin Shteyman; Binyamin Rothberg; Yoav Levine; Amnon Shashua (CoRR, 2024)

Compositional Hardness of Code in Large Language Models - A Probabilistic Perspective. - Yotam Wolf; Binyamin Rothberg; Dorin Shteyman; Amnon Shashua (CoRR, 2024)

Artificial Expert Intelligence through PAC-reasoning. - Shai Shalev-Shwartz; Amnon Shashua; Gal Beniamini; Yoav Levine; Or Sharir; Noam Wies; Ido Ben-Shaul; Tomer Nussbaum; Shir Granot Peled (CoRR, 2024)

FormulaOne: Measuring the Depth of Algorithmic Reasoning Beyond Competitive Programming. - Gal Beniamini; Yuval Dor; Alon Vinnikov; Shir Granot Peled; Or Weinstein; Or Sharir; Noam Wies; Tomer Nussbaum; Ido Ben-Shaul; Tomer Zekharya; Yoav Levine; Shai Shalev-Shwartz; et al. (CoRR, 2025)

From Reasoning to Super-Intelligence: A Search-Theoretic Perspective. - Shai Shalev-Shwartz; Amnon Shashua (CoRR, 2025)