Search Results for author: Rahul Ghosh

Found 20 papers, 1 papers with code

Phonetic, Semantic, and Articulatory Features in Assamese-Bengali Cognate Detection

no code implementations VarDial (COLING) 2022 Abhijnan Nath, Rahul Ghosh, Nikhil Krishnaswamy

In this paper, we propose a method to detect if words in two similar languages, Assamese and Bengali, are cognates.

Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach

no code implementations29 Jan 2024 Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David Mulla, Vipin Kumar

We finally discuss the impact of weather by correlating our results with crop phenology to show that WSTATT is able to capture physical properties of crop growth.

Crop Type Mapping

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems

no code implementations7 Oct 2023 Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar

We present a Task-aware modulation using Representation Learning (TAM-RL) framework that enhances personalized predictions in few-shot settings for heterogeneous systems when individual task characteristics are not known.

Few-Shot Learning Representation Learning

Uncertainty Quantification in Inverse Models in Hydrology

no code implementations3 Oct 2023 Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher Duffy, Vipin Kumar

Our inverse model offers 3\% improvement in R$^2$ for the inverse model (basin characteristic estimation) and 6\% for the forward model (streamflow prediction).

Uncertainty Quantification

Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling

no code implementations19 Sep 2023 Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar

Accurate long-term predictions are the foundations for many machine learning applications and decision-making processes.

Decision Making

Entity Aware Modelling: A Survey

no code implementations16 Feb 2023 Rahul Ghosh, HaoYu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar

However, these entity characteristics are not readily available in many real-world scenarios, and different ML methods have been proposed to infer these characteristics from the data.

Fairness Uncertainty Quantification

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin

no code implementations1 Jan 2023 Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin

In particular, we developed a SpatioTemporal Classification with Attention (STCA) model to map the distribution of cashew plantations, which can fully capture texture information from discriminative time steps during a growing season.

Clustering Decision Making

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications

1 code implementation15 Oct 2022 Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael Steinbach, Christopher Duffy, John Nieber, Vipin Kumar

To address this issue, we further propose a new strategy which augments a training segment with an initial value of the target variable from the timestep right before the starting of the training segment.

Probabilistic Inverse Modeling: An Application in Hydrology

no code implementations12 Oct 2022 Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher Duffy, Vipin Kumar

We propose uncertainty based learning method that offers 6\% improvement in $R^2$ for streamflow prediction (forward modeling) from inverse model inferred basin characteristic estimates, 17\% reduction in uncertainty (40\% in presence of noise) and 4\% higher coverage rate for basin characteristics.

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology

no code implementations14 Sep 2021 Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Chris Duffy, John Neiber, Vipin Kumar

Furthermore, we show that KGSSL is relatively more robust to distortion than baseline methods, and outperforms the baseline model by 35\% when plugging in KGSSL inferred characteristics.

Self-Supervised Learning

Weakly Supervised Classification Using Group-Level Labels

no code implementations16 Aug 2021 Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar

In many applications, finding adequate labeled data to train predictive models is a major challenge.

Binary Classification Classification +1

Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping

no code implementations16 Aug 2021 Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

Common techniques of addressing this issue, based on the underlying idea of pre-training the Deep Neural Networks (DNN) on freely available large datasets, cannot be used for Remote Sensing due to the unavailability of such large-scale labeled datasets and the heterogeneity of data sources caused by the varying spatial and spectral resolution of different sensors.

Clustering Representation Learning +1

CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels

no code implementations26 Jul 2021 Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David Mulla, Vipin Kumar

Mapping and monitoring crops is a key step towards sustainable intensification of agriculture and addressing global food security.

Semantic Segmentation

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping

no code implementations2 May 2021 Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

The availability of massive earth observing satellite data provide huge opportunities for land use and land cover mapping.

Land Cover Mapping in Limited Labels Scenario: A Survey

no code implementations3 Mar 2021 Rahul Ghosh, Xiaowei Jia, Vipin Kumar

Land cover mapping is essential for monitoring global environmental change and managing natural resources.

BIG-bench Machine Learning

Dirac Hamiltonian in a supersymmetric framework

no code implementations11 Jan 2021 Bijan Bagchi, Rahul Ghosh

We investigate the most general form of the one-dimensional Dirac Hamiltonian $H_D$ in the presence of scalar and pseudoscalar potentials.

Quantum Physics High Energy Physics - Theory Mathematical Physics Mathematical Physics

Model-agnostic Methods for Text Classification with Inherent Noise

no code implementations COLING 2020 Kshitij Tayal, Rahul Ghosh, Vipin Kumar

To our knowledge, this is the first time such a comprehensive study in text classification encircling popular models and model-agnostic loss methods has been conducted.

BIG-bench Machine Learning text-classification +1

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