B. Aditya Prakash
19 papers · 2021–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (50) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π
Keyword Champion
(3)
π
Grand Slam
π
Triple Crown
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(100)
Top co-authors
Research topics
Machine Learning
(13)
Data Science & Analytics
(11)
Artificial Intelligence
(10)
Deep Learning
(10)
Core AI
(8)
Learning Types Β· Machine Learning
(8)
Methods
(8)
Applications
(6)
Learning Types Β· Deep Learning
(5)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Application Areas
(4)
Architectures
(4)
Core Methods
(4)
Healthcare & Medicine
(3)
Keywords
time series forecasting
(6)
transfer learning
(3)
epidemic forecasting
(3)
covid-19 forecasting
(2)
prompt engineering
(2)
multimodal learning
(2)
large language model
(2)
real-time prediction
(2)
decision-focused learning
(2)
in-context learning
(2)
time series
(2)
zero-shot learning
(2)
physics-informed neural network
(2)
epidemiological model
(2)
domain adaptation
(2)
time series analysis
(2)
uncertainty quantification
(2)
graph generation
(1)
data integration
(1)
stochastic optimization
(1)
Papers
MoCE: A Mixture-of-Context Aware Experts Framework for Troubleshooting Internet-scale Services
NSDI 2026
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
NAACL 2025
DF$^2$: Distribution-Free Decision-Focused Learning
UAI 2025
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
ICML 2025
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
IJCAI 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks
NeurIPS 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
ACL 2024
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
ICLR 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
NeurIPS 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
ICML 2024
Autoregressive Diffusion Model for Graph Generation
ICML 2023
Detecting Sources of Healthcare Associated Infections
AAAI 2023
EINNs: Epidemiologically-Informed Neural Networks
AAAI 2023
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
ICLR 2022
End-to-end Stochastic Optimization with Energy-based Model
NeurIPS 2022
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay
AAAI 2022
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
AAAI 2021
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
AAAI 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
NeurIPS 2021