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B. Aditya Prakash

18 papers · 2021–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (7)
🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (46) πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (6) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (18) πŸ—ƒοΈ Keyword Collector (75)

Conferences

AAAI (5) NIPS (4) ICML (3) ICLR (2) ACL (1) IJCAI (1) NAACL (1) UAI (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