Nathaniel D. Bastian
8 papers · 2024–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(22)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(6)
Application Areas
(4)
Reinforcement Learning
(3)
Methods
(3)
Core Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Learning Types
(1)
Processing
(1)
Keywords
knowledge distillation
(2)
multi-agent system
(2)
reinforcement learning
(1)
action value
(1)
temporal grounding
(1)
machine unlearning
(1)
integer programming
(1)
model ensemble
(1)
non-euclidean clustering
(1)
feature scaling
(1)
human behavior modeling
(1)
deep neural network
(1)
neural collapse
(1)
decision tree
(1)
vision-language model
(1)
weak supervision
(1)
decision tree extraction
(1)
return gap
(1)
domain adaptation
(1)
multi-agent reinforcement learning
(1)
Papers
CLUE: Bringing Machine Unlearning to Mobile Devices
WACV 2026
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments
AAAI 2026
ENCORE : A Neural Collapse Perspective on Out-of-Distribution Detection in Deep Neural Networks
WACV 2026
SDE-HARL: Scalable Distributed Policy Execution for Heterogeneous-Agent Reinforcement Learning
AAAI 2026
Workflow Search Reinforcement Learning over Structured Decompositions
L4DC 2026
Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes
L4DC 2025
TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision
ICCV 2025
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
NeurIPS 2024