Ran Gilad-Bachrach
13 papers · 2012–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (33)
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(3)
📈
Trend Setter
💎
Century Club · Bronze
🗃️
Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(13)
Core Methods
(8)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Architectures
(4)
Learning Types
(4)
Application Areas
(3)
Core AI
(2)
Learning Paradigms
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Domain-Specific
(1)
Keywords
graph neural network
(3)
explainable ai
(3)
graph classification
(2)
neural network
(2)
robust statistics
(2)
gradient descent
(2)
regret bound
(2)
homomorphic encryption
(2)
decision tree
(2)
transfer learning
(1)
attention mechanism
(1)
graph learning
(1)
knowledge distillation
(1)
topic modeling
(1)
probabilistic modeling
(1)
stochastic optimization
(1)
secure computation
(1)
feature importance
(1)
reward modeling
(1)
sample complexity
(1)
Papers
Graph Neural Networks Use Graphs When They Shouldn’t
ICML 2024
The Intelligible and Effective Graph Neural Additive Network
NeurIPS 2024
TREE-G: Decision Trees Contesting Graph Neural Networks
AAAI 2024
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
AISTATS 2022
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
ICML 2021
Robust Model Compression Using Deep Hypotheses
AAAI 2021
Trees with Attention for Set Prediction Tasks
ICML 2021
Low Latency Privacy Preserving Inference
ICML 2019
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
ICML 2016
DART: Dropouts meet Multiple Additive Regression Trees
AISTATS 2015
Classifier Selection using the Predicate Depth
JMLR 2013
Using multiple samples to learn mixture models
NeurIPS 2013
Optimal Distributed Online Prediction Using Mini-Batches
JMLR 2012