Guy Bar-Shalom
8 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π£ Hot Topic Early Bird π Conference Polyglot (4) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(20)
π§
Keyword Pioneer
π
Grand Slam
π₯
Unstoppable
(5)
Conferences
NIPS (3)
ICML (2)
AAAI (1)
ICLR (1)
WACV (1)
Top co-authors
Keywords
deep neural network
(2)
image classification
(1)
transductive learning
(1)
large margin
(1)
self-supervised learning
(1)
weakly supervised learning
(1)
video analysis
(1)
message passing
(1)
output distribution
(1)
dynamic time warping
(1)
temporal alignment
(1)
selective prediction
(1)
generalization bound
(1)
equivariant learning
(1)
hallucination detection
(1)
data contamination
(1)
graph coarsening
(1)
transformer encoder
(1)
model monitoring
(1)
attention-based architecture
(1)
Papers
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
AAAI 2026
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
ICLR 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
ICML 2025
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
ICML 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
NIPS 2024
Weakly-Supervised Representation Learning for Video Alignment and Analysis
WACV 2024
Window-Based Distribution Shift Detection for Deep Neural Networks
NIPS 2023
TransBoost: Improving the Best ImageNet Performance using Deep Transduction
NIPS 2022