A. Shashua

Amnon Shashua, Tammy Riklin-Raviv, A. Shashua, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Algebraic Set Kernels with Application to Inference Over Local Image Representations

Tamir Hazan, Amnon Shashua, A. Shashua, 2004, NIPS.

Kernel principal angles for classification machines with applications to image sequence interpretation

Lior Wolf, Amnon Shashua, Lior Wolf, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Trilinearity in Visual Recognition by Alignment

Amnon Shashua, A. Shashua, 1994, ECCV.

Projective Structure from Uncalibrated Images: Structure From Motion and Recognition

Amnon Shashua, A. Shashua, 1994, IEEE Trans. Pattern Anal. Mach. Intell..

Projective depth: A geometric invariant for 3D reconstruction from two perspective/orthographic views and for visual recognition

Amnon Shashua, A. Shashua, 1993, 1993 (4th) International Conference on Computer Vision.

Illumination and View Position in 3D Visual Recognition

Amnon Shashua, A. Shashua, 1991, NIPS.

Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies

Tamir Hazan, Amnon Shashua, A. Shashua, 2008, UAI.

Linear image coding for regression and classification using the tensor-rank principle

Amnon Shashua, Anat Levin, A. Shashua, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Off-road Path Following using Region Classification and Geometric Projection Constraints

Amnon Shashua, Yaniv Alon, Andras Ferencz, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Relative affine structure: theory and application to 3D reconstruction from perspective views

Nassir Navab, Amnon Shashua, A. Shashua, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Non-negative tensor factorization with applications to statistics and computer vision

Tamir Hazan, Amnon Shashua, A. Shashua, 2005, ICML.

A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality

Tamir Hazan, Amnon Shashua, Amit Man, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

On the Equivalence between the Support Vector Machine for Classiication and Sparsiied Fisher's Linear Discriminant

A. Shashua, 1999 .

Turing centenary: Is the brain a good model for machine intelligence?

Demis Hassabis, Amnon Shashua, Rodney Brooks, 2012, Nature.

Time-varying shape tensors for scenes with multiply moving points

Lior Wolf, Amnon Shashua, Anat Levin, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

On projection matrices P/sup k//spl rarr/P/sup 2/, k=3,...,6, and their applications in computer vision

A. Shashua, L. Wolf, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Feature selection for unsupervised and supervised inference: the emergence of sparsity in a weighted-based approach

Lior Wolf, Amnon Shashua, Lior Wolf, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

On the Long-Term Memory of Deep Recurrent Networks

A. Shashua, Yoav Levine, Or Sharir, 2017 .

Limits to Depth Efficiencies of Self-Attention pdf

Amnon Shashua, Yoav Levine, Noam Wies, 2020, NeurIPS.

Two-body segmentation from two perspective views

Lior Wolf, Amnon Shashua, Lior Wolf, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Image-based View Synthesis

A. Shashua, S. Avidan, T. Evgeniou, 1997 .

On the Structure and Properties of the Quadrifocal Tensor

Lior Wolf, Amnon Shashua, Lior Wolf, 2000, ECCV.

Standing on the Shoulders of Giant Frozen Language Models

S. Shalev-Shwartz, Y. Shoham, A. Shashua, 2022, ArXiv.

Selecting Relevant Genes with a Spectral Approach

Lior Wolf, Amnon Shashua, Sayan Mukherjee, 2004 .

Kernel Feature Selection

Lior Wolf, Amnon Shashua, A. Shashua, 2003 .

On Projection Matrices

Lior Wolf, Amnon Shashua, A. Shashua, 2001 .

A Geometric Invariant For Visual Reco Reconstruction From Two Perspective Views

A. Shashua, 1993 .

Introduction to Machine Learning

Amnon Shashua, A. Shashua, 2019, Series in Machine Perception and Artificial Intelligence.

On Projection Matrices and their Applications in Computer Vision

Lior Wolf, Amnon Shashua, Lior Wolf, 2001, ICCV.

Dynamic P n to P n Alignment

A. Shashua, L. Wolf, 2004 .

Grouping Contours by Iterated Pairing Networks

Shimon Ullman, Amnon Shashua, S. Ullman, 1990, NIPS.

On Projection MatricesP

A. Shashua, L. Wolf, 2022 .

g Sensors: What Can be Done With a Non- gid Vision Platform?

A. Shashua, 1998 .

The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design

A. Shashua, Yoav Levine, Yedid Hoshen, 2021, ICLR.

Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks

A. Shashua, Yoav Levine, Noam Wies, 2022, ArXiv.

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Ehud D. Karpas, S. Shalev-Shwartz, Y. Shoham, 2022, ArXiv.

Neural tensor contractions and the expressive power of deep neural quantum states

A. Shashua, Or Sharir, G. Carleo, 2021, Physical Review B.

Parallel Context Windows Improve In-Context Learning of Large Language Models

Ehud D. Karpas, Y. Shoham, A. Shashua, 2022, ArXiv.

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving pdf

Amnon Shashua, Shai Shalev-Shwartz, Shaked Shammah, 2016, ArXiv.

Long-term Planning by Short-term Prediction pdf

Amnon Shashua, Shai Shalev-Shwartz, Aviad Cohen, 2016, ArXiv.

On Photometric Issues in 3D Visual Recognition from a Single 2D Image

Amnon Shashua, A. Shashua, 2004, International Journal of Computer Vision.

In-Context Retrieval-Augmented Language Models

Y. Shoham, A. Shashua, Yoav Levine, 2023, ArXiv.

Huge Frozen Language Models as Readers for Open-Domain Question Answering

S. Shalev-Shwartz, Y. Shoham, A. Shashua, 2022 .

SenseBERT: Driving Some Sense into BERT

Yoav Shoham, Amnon Shashua, Shai Shalev-Shwartz, 2019, ACL.

Kernel Feature Selection with Side Data Using a Spectral Approach

Lior Wolf, Amnon Shashua, Lior Wolf, 2004, ECCV.

Sparse image coding using a 3D non-negative tensor factorization

Tamir Hazan, Amnon Shashua, Simon Polak, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Manifold pursuit: a new approach to appearance based recognition

Amnon Shashua, Shai Avidan, Anat Levin, 2002, Object recognition supported by user interaction for service robots.

Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces

Amnon Shashua, Anat Levin, A. Shashua, 2002, ECCV.

The Depth-to-Width Interplay in Self-Attention.

Yoav Levine, Noam Wies, Or Sharir, 2020 .

Quantum Entanglement in Deep Learning Architectures.

Amnon Shashua, Nadav Cohen, Or Sharir, 2018, Physical review letters.

Deep autoregressive models for the efficient variational simulation of many-body quantum systems

Amnon Shashua, Noam Wies, Or Sharir, 2019, Physical review letters.

Gene Selection via a Spectral Approach

S. Mukherjee, L. Wolf, A. Shashua, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks

A. Shashua, Yoav Levine, Noam Wies, 2022, ICLR.

Forward collision warning with a single camera

O. Mano, A. Shashua, E. Dagan, 2004, IEEE Intelligent Vehicles Symposium, 2004.

On a Formal Model of Safe and Scalable Self-driving Cars pdf

Amnon Shashua, Shai Shalev-Shwartz, Shaked Shammah, 2017, ArXiv.

Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference

Tamir Hazan, Amnon Shashua, A. Shashua, 2009, IEEE Transactions on Information Theory.

Which transformer architecture fits my data? A vocabulary bottleneck in self-attention

A. Shashua, Yoav Levine, Noam Wies, 2021, ICML.

ShareBoost: Efficient multiclass learning with feature sharing

Amnon Shashua, Yonatan Wexler, Shai Shalev-Shwartz, 2011, NIPS.

Inductive Bias of Deep Convolutional Networks through Pooling Geometry pdf

Amnon Shashua, Nadav Cohen, A. Shashua, 2016, ICLR.

Ambiguity in reconstruction from images of six points

Amnon Shashua, Stephen J. Maybank, A. Shashua, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

The study of 3D-from-2D using elimination

Michael Werman, Amnon Shashua, A. Shashua, 1995, Proceedings of IEEE International Conference on Computer Vision.

Novel View Synthesis by Cascading Trilinear Tensors

Amnon Shashua, Shai Avidan, A. Shashua, 1998, IEEE Trans. Vis. Comput. Graph..

Affine 3-D reconstruction from two projective images of independently translating planes

Lior Wolf, Amnon Shashua, Lior Wolf, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Trajectory triangulation of lines: reconstruction of a 3D point moving along a line from a monocular image sequence

Amnon Shashua, Shai Avidan, A. Shashua, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Fundamental Limitations of Alignment in Large Language Models

A. Shashua, Yoav Levine, Noam Wies, 2023, ArXiv.

Vision-based ACC with a single camera: bounds on range and range rate accuracy

Amnon Shashua, Ofer Mano, Gideon Stein, 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

Trajectory Triangulation: 3D Reconstruction of Moving Points from a Monocular Image Sequence

Amnon Shashua, Shai Avidan, A. Shashua, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

The Learnability of In-Context Learning

A. Shashua, Yoav Levine, Noam Wies, 2023, NeurIPS.

On the Ethics of Building AI in a Responsible Manner pdf

Shai Shalev-Shwartz, Amnon Shashua, Shaked Shammah, 2020, ArXiv.

Crowd detection in video sequences

P. Reisman, O. Mano, S. Avidan, 2004, IEEE Intelligent Vehicles Symposium, 2004.

Multiple View Geometry of General Algebraic Curves

Amnon Shashua, Jeremy Yermiyahou Kaminski, A. Shashua, 2004, International Journal of Computer Vision.

Multiple view geometry of non-planar algebraic curves

Amnon Shashua, Jeremy Yermiyahou Kaminski, Mina Teicher, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

A Computer Vision System on a Chip: a case study from the automotive domain

Amnon Shashua, Gideon P. Stein, Elchanan Rushinek, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Doubly Stochastic Normalization for Spectral Clustering

Amnon Shashua, Ron Zass, A. Shashua, 2006, NIPS.

what is human vision ?

Alauddin Bhuiyan, Amnon Shashua, A. Shashua, 2015 .

The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations

Amnon Shashua, Tammy Riklin-Raviv, A. Shashua, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Introduction to Machine Learning: Class Notes 67577 pdf

Amnon Shashua, A. Shashua, 2009, ArXiv.

Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs

Tamir Hazan, Jian Peng, Amnon Shashua, 2012, UAI.

Benefits of Depth for Long-Term Memory of Recurrent Networks pdf

Amnon Shashua, Or Sharir, Yoav Levine, 2017, ICLR.

Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions pdf

Ronen Tamari, Amnon Shashua, Nadav Cohen, 2017, ArXiv.

Tensorial Mixture Models pdf

Ronen Tamari, Amnon Shashua, Nadav Cohen, 2017, ArXiv.

On the Expressive Power of Overlapping Architectures of Deep Learning

Amnon Shashua, Or Sharir, A. Shashua, 2017, ICLR.

Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions pdf

Ronen Tamari, Amnon Shashua, Nadav Cohen, 2017, ICLR.

SimNets: A Generalization of Convolutional Networks pdf

Amnon Shashua, Nadav Cohen, A. Shashua, 2014, ArXiv.

Probabilistic graph and hypergraph matching

Amnon Shashua, Ron Zass, A. Shashua, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A robust method for computing vehicle ego-motion

Amnon Shashua, G. P. Stein, Ofer Mano, 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

Stereo-Assist: Top-down stereo for driver assistance systems

Amnon Shashua, Yoram Gdalyahu, Gideon P. Stein, 2010, 2010 IEEE Intelligent Vehicles Symposium.

Generating Benchmarks for Factuality Evaluation of Language Models

Y. Shoham, A. Shashua, Yoav Levine, 2023, EACL.

Fundamental Limitations of Alignment in Large Language Models

A. Shashua, Yoav Levine, Noam Wies, 2023, ArXiv.

On Geomatric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views

Amnon Shashua, A. Shashua, 1993, Applications of Invariance in Computer Vision.

A unifying approach to hard and probabilistic clustering

Amnon Shashua, Ron Zass, A. Shashua, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

In-Context Retrieval-Augmented Language Models

Y. Shoham, A. Shashua, Yoav Levine, 2023, Transactions of the Association for Computational Linguistics.

Parallel Context Windows for Large Language Models

Ehud D. Karpas, Y. Shoham, A. Shashua, 2022, ACL.

On the Relationship Between the Support Vector Machine for Classification and Sparsified Fisher's Linear Discriminant

Amnon Shashua, A. Shashua, 1999, Neural Processing Letters.

Nonnegative Sparse PCA

Amnon Shashua, Ron Zass, A. Shashua, 2006, NIPS.

On the Expressive Power of Deep Learning: A Tensor Analysis

A. Shashua, Nadav Cohen, Or Sharir, 2015, COLT.

Is the brain a good model for machine intelligence

A. Shashua, R. Brooks, D. Bray, 2012 .

Vision Zero: on a Provable Method for Eliminating Roadway Accidents without Compromising Traffic Throughput

Amnon Shashua, Shai Shalev-Shwartz, Shaked Shammah, 2018, 1901.05022.

Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks.

Nadav Cohen, Or Sharir, Amnon Shashua, 2018 .

On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training pdf

Amnon Shashua, Shai Shalev-Shwartz, S. Shalev-Shwartz, 2016, ArXiv.

Augmented Reality and Virtual Reality

A. Shashua, F. Dellaert, S. Seitz, 2021, Progress in IS.

Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization

Tamir Hazan, Amnon Shashua, Ron Zass, 2006, ECCV.

A geometric invariant for visual recognition and 3D reconstruction from two perspective/orthographic views

Amnon Shashua, A. Shashua, 1993, [1993] Proceedings IEEE Workshop on Qualitative Vision.

Learning a Metric Embedding for Face Recognition using the Multibatch Method

Amnon Shashua, Yonatan Wexler, Shai Shalev-Shwartz, 2016, NIPS.

Omni-rig: linear self-recalibration of a rig with varying internal and external parameters

Lior Wolf, Amnon Shashua, Assaf Zomet, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Omni-Rig sensors: what can be done with a non-rigid vision platform?

Amnon Shashua, A. Shashua, 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

Fundamental Limitations of Alignment in Large Language Models

A. Shashua, Yoav Levine, Noam Wies, 2023, ICML.

On the Expressive Power of Deep Learning: A Tensor Analysis

A. Shashua, Nadav Cohen, Or Sharir, 2015, COLT.

Relative Affine Structure: Canonical Model for 3D From 2D Geometry and Applications

Nassir Navab, Amnon Shashua, A. Shashua, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

Notes on Hierarchical Splines, DCLNs and i-theory

Tomaso Poggio, Lorenzo Rosasco, Amnon Shashua, 2015 .

On Calibration and Reconstruction from Planar Curves

Amnon Shashua, Jeremy Yermiyahou Kaminski, A. Shashua, 2000, ECCV.

On the Equivalence between the Support Vector Machine for Classiication and Sparsiied Fisher's Linear Discriminant

A. Shashua, 1999 .

Deep autoregressive models for the efficient variational simulation of many-body quantum systems

A. Shashua, Yoav Levine, Or Sharir, 2019, Physical review letters.

Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks

A. Shashua, Yoav Levine, Nadav Cohen, 2018, ArXiv.

Tractable Generative Convolutional Arithmetic Circuits

Ronen Tamari, Amnon Shashua, Nadav Cohen, 2016, 1610.04167.

Model-based brightness constraints: on direct estimation of structure and motion

Amnon Shashua, Gideon P. Stein, A. Shashua, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Deep Learning and Quantum Physics : A Fundamental Bridge

Nadav Cohen, Amnon Shashua, David Yakira, 2017 .

Trilinearity of three perspective views and its associated tensor

Michael Werman, Amnon Shashua, A. Shashua, 1995, Proceedings of IEEE International Conference on Computer Vision.

Trilinear Tensor: The Fundamental Construct of Multiple-view Geometry and Its Applications

Amnon Shashua, A. Shashua, 1997, AFPAC.

Image-based view synthesis by combining trilinear tensors and learning techniques

Amnon Shashua, Tomaso A. Poggio, Shai Avidan, 1997, VRST '97.

Tradeoffs Between Alignment and Helpfulness in Language Models

A. Shashua, Yoav Levine, Noam Wies, 2024, ArXiv.

Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach

ShashuaAmnon, WolfLior, A. Shashua, 2005, J. Mach. Learn. Res..