Gilad-Bachrach, Ran

1. Graph Neural Networks Use Graphs When They Shouldn't
   2023/09/08 by Maya Bechler-Speicher, Ido Amos, Bechler-Speicher, Maya +5 · 2 voices · 7 citations
   #cs.LG #cs.AI
2. Low Latency Privacy Preserving Inference
   2018/12/27 by Alon Brutzkus, Brutzkus, Alon, Elisha, Oren +2 · 12 citations
   Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
3. Optimal Distributed Online Prediction using Mini-Batches
   2010/12/07 by Dekel, Ofer, Gilad-Bachrach, Ran, Shamir, Ohad +1 · 6 citations
   #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
4. The Interpretable and Effective Graph Neural Additive Networks
   2024/06/03 by Bechler-Speicher, Maya, Globerson, Amir, Gilad-Bachrach, Ran · 6 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Inherent Inconsistencies of Feature Importance
   2022/06/16 by Harel, Nimrod, Obolski, Uri, Gilad-Bachrach, Ran · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
6. DART: Dropouts meet Multiple Additive Regression Trees
   2015/05/07 by K. V. Rashmi, Rashmi, K. V., Ran Gilad-Bachrach +1 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
7. Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their Performance
   2019/10/27 by Youngmann, Brit, Gilad-Bachrach, Ran, Karmon, Danny +1 · 1 citation
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
8. The Case Against Explainability
   2023/05/20 by Hofit Wasserman Rozen, Rozen, Hofit Wasserman, Niva Elkin-Koren +3 · 1 citation
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
9. Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers
   2025/03/03 by Yehudai, Gilad, Sanford, Clayton, Bechler-Speicher, Maya +3 · 1 citation
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. On the Utilization of Unique Node Identifiers in Graph Neural Networks
    2024/11/04 by Maya Bechler-Speicher, Bechler-Speicher, Maya, Moshe Eliasof +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
11. Towards Invariance to Node Identifiers in Graph Neural Networks
    2025/02/19 by Maya Bechler-Speicher, Moshe Eliasof, Bechler-Speicher, Maya +7 · 1 citation
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications