Search Results for author: Harshavardhan Kamarthi

Found 10 papers, 4 papers with code

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting

1 code implementation15 Sep 2021 Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

We use CAMul for multiple domains with varied sources and modalities and show that CAMul outperforms other state-of-art probabilistic forecasting models by over 25\% in accuracy and calibration.

Decision Making Probabilistic Time Series Forecasting +1

Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future

1 code implementation8 Jun 2021 Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash

Our extensive experiments demonstrate that our method refines the performance of top models for COVID-19 forecasting, in contrast to non-trivial baselines, yielding 18% improvement over baselines, enabling us obtain a new SOTA performance.

When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting

1 code implementation7 Jun 2021 Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

We model the forecasting task as a probabilistic generative process and propose a functional neural process model called EPIFNP, which directly models the probability density of the forecast value.

Time Series Time Series Forecasting

Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty

no code implementations18 Dec 2020 Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe

We therefore first propose a novel GSG model that combines defender allocation, patrolling, real-time drone notification to human patrollers, and drones sending warning signals to attackers.

Decision Making Multiagent Systems

Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting

no code implementations14 Dec 2019 Aakash Srinivasan, Harshavardhan Kamarthi, Devi Ganesan, Sutanu Chakraborti

Past works have attempted to improve these embeddings by incorporating semantic knowledge from lexical resources like WordNet.

Word Embeddings

Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling

1 code implementation8 Jul 2019 Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe

A serious challenge when finding influential actors in real-world social networks is the lack of knowledge about the structure of the underlying network.

Graph Sampling

Hierarchical Genetic Algorithms with evolving objective functions

no code implementations1 Dec 2018 Harshavardhan Kamarthi, Kousik Krishnan

We propose a framework of genetic algorithms which use multi-level hierarchies to solve an optimization problem by searching over the space of simpler objective functions.

Discovering hierarchies using Imitation Learning from hierarchy aware policies

no code implementations1 Dec 2018 Ameet Deshpande, Harshavardhan Kamarthi, Balaraman Ravindran

Learning options that allow agents to exhibit temporally higher order behavior has proven to be useful in increasing exploration, reducing sample complexity and for various transfer scenarios.

Imitation Learning

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