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Publications

2024

Yarin Udi, Ran Gilad-Bachrach, Hilla Cohen, Lena Sagi-Dain

Impact of body mass index and examination type on utilization of screening programs: A big data study

Preventive Medicine

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

The Intelligible and Effective Graph Neural Additive Networks

arXiv:2406.01317

Ziv Hersh, Yiska Loewenberg Weisband, Ariel Bogan, Adir Leibovich, Uri Obolski, Daniel Nevo, Ran Gilad-Bachrach

Impact of Long-COVID in children: a large cohort study

Child and Adolescent Psychiatry and Mental Health

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

TREE-G: Decision Trees Contesting Graph Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence

Nir Weingarten, Zohar Yakhini, Moshe Butman, Ran Gilad-Bachrach

Tighter Bounds on the Information Bottleneck with Application to Deep Learning

arXiv:2402.07639

A Work in Progress: Tighter Bounds on the Information Bottleneck for Deep Learning

Nir Weingarten, Moshe Butman, Ran Gilad-Bachrach

NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems

דלית קן־דרור פלדמן, קרין נהון, ורדית אבידן ורן גלעד בכרך

זיוף, זיוף עמוק (Deep-Fake), חוק הסרטונים ועקרון הפרשנות המצמצמת: מה הדין?

המשפט

Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson

Graph Neural Networks Use Graphs When They Shouldn't

arXiv:2309.04332

Hofit Wasserman-Rozen, Ran Gilad-Bachrach, Niva Elkin-Koren

Lost in Translation: The Limits of Explainability in AI

SSRN 4531323

Hofit Wasserman Rozen, Niva Elkin-Koren, and Ran Gilad-Bachrach

The Case Against Explainability

arXiv:2305.12167

Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff

Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease

Sensors

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Graph Trees with Attention

arXiv:2207.02760

2023

Yarin Udi, Ran Gilad-Bachrach, Hilla Cohen, Lena Sagi-Dain

Impact of body mass index and examination type on utilization of screening programs: A big data study

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

The Intelligible and Effective Graph Neural Additive Networks

Ziv Hersh, Yiska Loewenberg Weisband, Ariel Bogan, Adir Leibovich, Uri Obolski, Daniel Nevo, Ran Gilad-Bachrach

Impact of Long-COVID in children: a large cohort study

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

TREE-G: Decision Trees Contesting Graph Neural Networks

Nir Weingarten, Zohar Yakhini, Moshe Butman, Ran Gilad-Bachrach

Tighter Bounds on the Information Bottleneck with Application to Deep Learning

A Work in Progress: Tighter Bounds on the Information Bottleneck for Deep Learning

Nir Weingarten, Moshe Butman, Ran Gilad-Bachrach

דלית קן־דרור פלדמן, קרין נהון, ורדית אבידן ורן גלעד בכרך

זיוף, זיוף עמוק (Deep-Fake), חוק הסרטונים ועקרון הפרשנות המצמצמת: מה הדין?

Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson

Graph Neural Networks Use Graphs When They Shouldn't

Hofit Wasserman-Rozen, Ran Gilad-Bachrach, Niva Elkin-Koren

Lost in Translation: The Limits of Explainability in AI

Hofit Wasserman Rozen, Niva Elkin-Koren, and Ran Gilad-Bachrach

The Case Against Explainability

Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff

Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Graph Trees with Attention

2021

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2022

Yarin Udi, Ran Gilad-Bachrach, Hilla Cohen, Lena Sagi-Dain

Impact of body mass index and examination type on utilization of screening programs: A big data study

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

The Intelligible and Effective Graph Neural Additive Networks

Ziv Hersh, Yiska Loewenberg Weisband, Ariel Bogan, Adir Leibovich, Uri Obolski, Daniel Nevo, Ran Gilad-Bachrach

Impact of Long-COVID in children: a large cohort study

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

TREE-G: Decision Trees Contesting Graph Neural Networks

Nir Weingarten, Zohar Yakhini, Moshe Butman, Ran Gilad-Bachrach

Tighter Bounds on the Information Bottleneck with Application to Deep Learning

A Work in Progress: Tighter Bounds on the Information Bottleneck for Deep Learning

Nir Weingarten, Moshe Butman, Ran Gilad-Bachrach

דלית קן־דרור פלדמן, קרין נהון, ורדית אבידן ורן גלעד בכרך

זיוף, זיוף עמוק (Deep-Fake), חוק הסרטונים ועקרון הפרשנות המצמצמת: מה הדין?

Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson

Graph Neural Networks Use Graphs When They Shouldn't

Hofit Wasserman-Rozen, Ran Gilad-Bachrach, Niva Elkin-Koren

Lost in Translation: The Limits of Explainability in AI

Hofit Wasserman Rozen, Niva Elkin-Koren, and Ran Gilad-Bachrach

The Case Against Explainability

Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff

Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Graph Trees with Attention

2020

Yarin Udi, Ran Gilad-Bachrach, Hilla Cohen, Lena Sagi-Dain

Impact of body mass index and examination type on utilization of screening programs: A big data study

Preventive Medicine

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

The Intelligible and Effective Graph Neural Additive Networks

arXiv:2406.01317

Ziv Hersh, Yiska Loewenberg Weisband, Ariel Bogan, Adir Leibovich, Uri Obolski, Daniel Nevo, Ran Gilad-Bachrach

Impact of Long-COVID in children: a large cohort study

Child and Adolescent Psychiatry and Mental Health

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

TREE-G: Decision Trees Contesting Graph Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence

Nir Weingarten, Zohar Yakhini, Moshe Butman, Ran Gilad-Bachrach

Tighter Bounds on the Information Bottleneck with Application to Deep Learning

arXiv:2402.07639

A Work in Progress: Tighter Bounds on the Information Bottleneck for Deep Learning

Nir Weingarten, Moshe Butman, Ran Gilad-Bachrach

NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems

דלית קן־דרור פלדמן, קרין נהון, ורדית אבידן ורן גלעד בכרך

זיוף, זיוף עמוק (Deep-Fake), חוק הסרטונים ועקרון הפרשנות המצמצמת: מה הדין?

המשפט

Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson

Graph Neural Networks Use Graphs When They Shouldn't

arXiv:2309.04332

Hofit Wasserman-Rozen, Ran Gilad-Bachrach, Niva Elkin-Koren

Lost in Translation: The Limits of Explainability in AI

SSRN 4531323

Hofit Wasserman Rozen, Niva Elkin-Koren, and Ran Gilad-Bachrach

The Case Against Explainability

arXiv:2305.12167

Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff

Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease

Sensors

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Graph Trees with Attention

arXiv:2207.02760

2019

Gilad-Bachrach, Ran; Laine, Kim; Lauter, Kristin E.; Rindal, Peter & Rosulek, Mike

Secure Data Exchange: A Marketplace in the Cloud

{ACM} {SIGSAC} Conference on Cloud Computing Security Workshop (CCSW@CCS), 2019

Brutzkus, Alon; Gilad-Bachrach, Ran & Elisha, Oren

Low Latency Privacy Preserving Inference

36th International Conference on Machine Learning (ICML), 2019

Vainas, Oded; Bar-Ilan, Ori; David, Yossi Ben; Gilad-Bachrach, Ran; Lukin, Galit; Ronen, Meitar; Shillo, Roi & Sitton, Daniel

E-Gotsky: Sequencing Content using the Zone of Proximal Development

arXiv:1904.12268 , 2019

Youngmann, Brit; Gilad-Bachrach, Ran; Karmon, Danny & Yom-Tov, Elad

The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance

arXiv:1910.12274, 2019

Vainas, Oded; David, Yossi Ben; Gilad-Bachrach, Ran; Ronen, Meitar; Bar-Ilan, Ori; Shillo, Roi; Lukin, Galit & Sitton, Daniel

Staying in the Zone: Sequencing Content in Classrooms Based on the Zone of Proximal Development

12th International Conference on Educational Data Mining (EDM), 2019

2018

Chen, Hao; Gilad-Bachrach, Ran; Han, Kyoohyung; Huang, Zhicong; Jalali, Amir; Laine, Kim & Lauter, Kristin E.

Logistic regression over encrypted data from fully homomorphic encryption

ePrint:462, 2018

Gonem, Alon & Gilad-Bachrach, Ran

Smooth Sensitivity Based Approach for Differentially Private PCA

Algorithmic Learning Theory (ALT), 2018

Brutzkus, Alon; Elisha, Oren & Gilad-Bachrach, Ran

Low Latency Privacy Preserving Inference

arXiv:1812.10659, 2018

Buchsbaum, Stav; Gilad-Bachrach, Ran & Lindell, Yehuda

Turning Lemons into Peaches using Secure Computation

arXiv:1810.02066, 2018

Moore, John; Pfeiffer, Joel; Wei, Kai; Iyer, Rishabh K.; Charles, Denis; Gilad-Bachrach, Ran; Boyles, Levi & Manavoglu, Eren

Modeling and Simultaneously Removing Bias via Adversarial Neural Networks

arXiv:1804.06909, 2018

2017

Yarin Udi, Ran Gilad-Bachrach, Hilla Cohen, Lena Sagi-Dain

Impact of body mass index and examination type on utilization of screening programs: A big data study

Preventive Medicine

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

The Intelligible and Effective Graph Neural Additive Networks

arXiv:2406.01317

Ziv Hersh, Yiska Loewenberg Weisband, Ariel Bogan, Adir Leibovich, Uri Obolski, Daniel Nevo, Ran Gilad-Bachrach

Impact of Long-COVID in children: a large cohort study

Child and Adolescent Psychiatry and Mental Health

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

TREE-G: Decision Trees Contesting Graph Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence

Nir Weingarten, Zohar Yakhini, Moshe Butman, Ran Gilad-Bachrach

Tighter Bounds on the Information Bottleneck with Application to Deep Learning

arXiv:2402.07639

A Work in Progress: Tighter Bounds on the Information Bottleneck for Deep Learning

Nir Weingarten, Moshe Butman, Ran Gilad-Bachrach

NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems

דלית קן־דרור פלדמן, קרין נהון, ורדית אבידן ורן גלעד בכרך

זיוף, זיוף עמוק (Deep-Fake), חוק הסרטונים ועקרון הפרשנות המצמצמת: מה הדין?

המשפט

Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson

Graph Neural Networks Use Graphs When They Shouldn't

arXiv:2309.04332

Hofit Wasserman-Rozen, Ran Gilad-Bachrach, Niva Elkin-Koren

Lost in Translation: The Limits of Explainability in AI

SSRN 4531323

Hofit Wasserman Rozen, Niva Elkin-Koren, and Ran Gilad-Bachrach

The Case Against Explainability

arXiv:2305.12167

Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff

Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease

Sensors

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Graph Trees with Attention

arXiv:2207.02760

2016

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2015

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2014

Bachrach, Yoram; Finkelstein, Yehuda; Gilad-Bachrach, Ran; Katzir, Liran; Koenigstein, Noam; Nice, Nir & Paquet, Ulrich

Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces

Eighth {ACM} Conference on Recommender Systems (RecSys), 2014

Xie, Pengtao; Bilenko, Misha; Finley, Tom; Gilad-Bachrach, Ran; Lauter, Kristin E. & Naehrig, Michael

Crypto-Nets: Neural Networks over Encrypted Data

arXiv:1412.6181, 2014

Paredes, Pablo; Gilad-Bachrach, Ran; Czerwinski, Mary; Roseway, Asta; Rowan, Kael & Hernandez, Javier

PopTherapy: coping with stress through pop-culture

International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2014

2013

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2012

Dekel, Ofer; Gilad-Bachrach, Ran; Shamir, Ohad & Xiao, Lin

Optimal Distributed Online Prediction Using Mini-Batches

The Journal of Machine Learning Research (JMLR) 13, 2012

Gabel, Moshe; Schuster, Assaf; Gilad-Bachrach, Ran & Bj{\o}rner, Nikolaj

Latent fault detection in large scale services

{IEEE/IFIP} International Conference on Dependable Systems and Networks (DSN) 2012

Raman, Karthik; Svore, Krysta M.; Gilad-Bachrach, Ran & Burges, Christopher J. C.

Learning from mistakes: towards a correctable learning algorithm

21st {ACM} International Conference on Information and Knowledge Management (CIKM), 2012

Gabel, Moshe; Gilad-Bachrach, Ran; Renshaw, Erin & Schuster, Assaf

Full body gait analysis with Kinect

Annual International Conference of the {IEEE} Engineering in Medicine and Biology Society (EMBC), 2012

Thai, Trang; DeJean, Gerald & Gilad-Bachrach, Ran

Confined intra-arm communication for medical applications

Wireless Health (WH), 2012

2011

Dekel, Ofer; Gilad-Bachrach, Ran; Shamir, Ohad & Xiao, Lin

Optimal Distributed Online Prediction

28th International Conference on Machine Learning (ICML), 2011

Ponnuswami, Ashok Kumar; Pattabiraman, Kumaresh; Wu, Qiang; Gilad-Bachrach, Ran & Kanungo, Tapas

On composition of a federated web search result page: using online users to provide pairwise preference for heterogeneous verticals

4th International Conference on Web Search and Web Data Mining (WSDM), 2011

1997-2010

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