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)

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

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)

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

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

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)

The Cost of Training NLP Models: A Concise Overview. - Or Sharir; Barak Peleg; Yoav Shoham (CoRR, 2020)

Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation. - Yoel Zeldes; Dan Padnos; Or Sharir; Barak Peleg (CoRR, 2020)

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

Towards Neural Variational Monte Carlo That Scales Linearly with System Size. - Or Sharir; Garnet Kin-Lic Chan; Anima Anandkumar (CoRR, 2022)

Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs. - Or Sharir; Anima Anandkumar (CoRR, 2023)

ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs. - Pengrui Han; Rafal Kocielnik; Adhithya Prakash Saravanan; Roy Jiang; Or Sharir; Anima Anandkumar (CoRR, 2024)

Image Super-resolution Inspired Electron Density Prediction. - Chenghan Li; Or Sharir; Shunyue Yuan; Garnet Kin-Lic Chan (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)