Madhav Marathe
18 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (7)
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Hot Topic Early Bird
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(7)
🏆
Keyword Champion
🧬
Topic Evolution
🔥
Unstoppable
(8)
🚀
Conference Pioneer
💎
Century Club
(15)
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Prolific Year
(5)
🗃️
Keyword Collector
(96)
Conferences
AAAI (9)
IJCAI (4)
ICML (3)
NIPS (1)
WACV (1)
Top co-authors
Keywords
deep learning
(3)
discrete dynamical system
(3)
causal inference
(2)
query complexity
(2)
active query
(2)
combinatorial optimization
(2)
vaccine distribution
(2)
networked dynamical system
(2)
remote sensing
(2)
epidemic forecasting
(2)
domain adaptation
(1)
pac learning
(1)
spatio-temporal modeling
(1)
sample complexity
(1)
transfer learning
(1)
entity disambiguation
(1)
attention mechanism
(1)
large-scale optimization
(1)
topology learning
(1)
mutual information
(1)
Papers
LLM-Enabled Scientific Knowledge Diffusion Analysis
AAAI 2026
Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations
AAAI 2026
Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks
AAAI 2026
PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
WACV 2026
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing
IJCAI 2025
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
ICML 2024
Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers
IJCAI 2023
Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays
IJCAI 2023
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles
IJCAI 2022
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites
AAAI 2022
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries
ICML 2022
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
AAAI 2022
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics
AAAI 2022
Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms
AAAI 2021
Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems
AAAI 2020
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
NIPS 2020
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information
AAAI 2019
PAC Learnability of Node Functions in Networked Dynamical Systems
ICML 2019