B. Aditya Prakash
18 papers · 2021–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Cross-Pollinator (13) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Renaissance Researcher (7)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(46)
π
Triple Crown
π
Grand Slam
β‘
Prolific Year
(6)
π₯
Unstoppable
(5)
π
Century Club
(18)
ποΈ
Keyword Collector
(75)
Conferences
AAAI (5)
NIPS (4)
ICML (3)
ICLR (2)
ACL (1)
IJCAI (1)
NAACL (1)
UAI (1)
Top co-authors
Keywords
time series forecasting
(5)
transfer learning
(3)
time series analysis
(2)
prompt engineering
(2)
time series
(2)
uncertainty quantification
(2)
large language model
(2)
epidemic forecasting
(2)
epidemiological model
(2)
zero-shot learning
(2)
in-context learning
(2)
multimodal learning
(2)
domain adaptation
(2)
modality alignment
(1)
deep learning
(1)
graph generation
(1)
stochastic optimization
(1)
data integration
(1)
expectation propagation
(1)
time series classification
(1)
Papers
DF$^2$: Distribution-Free Decision-Focused Learning
UAI 2025
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
NAACL 2025
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
ICML 2025
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
ACL 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks
NIPS 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
NIPS 2024
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
ICLR 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
ICML 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
IJCAI 2024
Detecting Sources of Healthcare Associated Infections
AAAI 2023
EINNs: Epidemiologically-Informed Neural Networks
AAAI 2023
Autoregressive Diffusion Model for Graph Generation
ICML 2023
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay
AAAI 2022
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
ICLR 2022
End-to-end Stochastic Optimization with Energy-based Model
NIPS 2022
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
NIPS 2021
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
AAAI 2021