Publications

2025

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2024

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

The Intelligible and Effective Graph Neural Additive Networks

Advances in Neural Information Processing Systems

Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb, Ran Gilad-Bachrach, Amir Globerson

On the Utilization of Unique Node Identifiers in Graph Neural Networks

arXiv preprint arXiv:2411.02271

M Bechler-Speicher, I Amos, R Gilad-Bachrach, A Globerson

Graph neural networks use graphs when they shouldn't

Forty-first International Conference on Machine Learning

R Gilad-Bachrach, U Obolski

Guidance on reporting the use of natural language processing methods

Clinical microbiology and infection: the official publication of the European Society of Clinical Microbiology and Infectious Diseases

Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb, Ran Gilad-Bachrach, Amir Globerson

On the Utilization of Unique Node Identifiers in Graph Neural Networks

arXiv preprint arXiv:2411.02271

CB Yehuda, R Gilad-Bachrach, Y Udi

Improving Engagement and Efficacy of mHealth Micro-Interventions for Stress Coping: an In-The-Wild Study

arXiv preprint arXiv:2407.11612

H Wasserman-Rozen, R Gilad-Bachrach, N Elkin-Koren

Lost in translation: the limits of explainability in AI

Cardozo Arts & Ent. LJ 42, 391

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

2023

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2022

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

Nimrod Harel, Ran Gilad-Bachrach, Uri Obolski

Inherent Inconsistencies of Feature Importance

arXiv:2206.08204

Pierre Laforgue, Giulia Clerici, Nicol`o Cesa-Bianchi, Ran Gilad-Bachrach

A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits

The 25th International Conference on
Artificial Intelligence and Statistics (AIStats)

2021

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2020

Amnon Catav, Boyang Fu, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach

Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case

arXiv:2010.07910, 2020

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

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

WWW'20

2019

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2018

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2017

Maya Bechler-Speicher, Andrea Zerio, Maor Huri, Marie Vibeke Vestergaard, Ran Gilad-Bachrach, Tine Jess, Samir Bhatt, Aleksejs Sazonovs

Graph Mixing Additive Networks

arxiv

Idit Lachover-Roth, Daniel Sarusi, Neta Biran, Noreen Abd-Elkader, Anat Cohen-Engler, Yossi Rosman, Saray Sity-Harel, Ronit Confino-Cohen, Ran Gilad-Bachrach, Tzipi Hornik-Lurie

Understanding Food Allergy Risk Factors: Current Knowledge and Recent Advances Using a Large Retrospective Cohort Analysis

International Archives of Allergy and Immunology

Irena Girshovitz, Atai Ambus, Moni Shahar, Ran Gilad-Bachrach

Medical Data Pecking: A Context-Aware Approach for Automated Quality Evaluation of Structured Medical Data

arXiv preprint arXiv:2507.02628

Andrea Zerio, Maya Bechler-Speicher, Maor Huri, Marie Vibeke Vestergaard, Ran Gilad-Bachrach, Tine Jess, Samir Bhatt, Aleksejs Sazonovs

Interpretable Graph Learning Over Sets of Temporally-Sparse Data

arXiv preprint arXiv:2505.19193

2016

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

Secure Data Exchange: A Marketplace in the Cloud

ePrint:620, 2016

Gilad-Bachrach, Ran; Dowlin, Nathan; Laine, Kim; Lauter, Kristin E.; Naehrig, Michael & Wernsing, John

CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy

33nd International Conference on Machine Learning (ICML), 2016

Rahman, Tauhidur; Czerwinski, Mary; Gilad-Bachrach, Ran & Johns, Paul

Predicting About-to-Eat" Moments for Just-in-Time Eating Intervention"

6th International Conference on Digital Health Conference (DH), 2016

Slovák, Petr; Frauenberger, Christopher; Gilad-Bachrach, Ran; Doces, Mia; Smith, Brian; Kamb, Rachel; Rowan, Kael & Fitzpatrick, Geraldine

Scaffolding the scaffolding: Supporting children\textquestiondowns social-emotional learning at home

19th {ACM} Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), 2016

Czerwinski, Mary; Gilad-Bachrach, Ran; Iqbal, Shamsi T. & Mark, Gloria

Challenges for designing notifications for affective computing systems

{ACM} International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2016

2015

Rashmi, K. V. & Gilad-Bachrach, Ran

DART: Dropouts meet Multiple Additive Regression Trees

arXiv:1505.01866, 2015

Rashmi, Korlakai Vinayak & Gilad-Bachrach, Ran

DART: Dropouts meet Multiple Additive Regression Trees

8th International Conference on Artificial Intelligence and Statistics (AISTATS), 2015

Slovák, Petr; Gilad-Bachrach, Ran & Fitzpatrick, Geraldine

Designing Social and Emotional Skills Training: The Challenges and Opportunities for Technology Support

33rd Annual {ACM} Conference on Human Factors in Computing Systems (CHI), 2015

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

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1997-2010

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