activity
20192025
most citedEmission-aware Energy Storage Scheduling for a Greener Grid

20 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.SR2025

Relative Strengths of Fundamental and Harmonic Emissions of Solar Radio Type II Bursts

Rishikesh G. Jha, K. Sasikumar Raja, R. Ramesh +2

Solar radio type II bursts are slow-drifting bursts that exhibit various distinct features such as Fundamental (F) and Harmonic (H) emissions, band-splitting, and discrete fine str…

cs.IR2023★ 2 cited

Unified Embedding Based Personalized Retrieval in Etsy Search

Rishikesh Jha, Siddharth Subramaniyam, Ethan Benjamin +1

Embedding-based neural retrieval is a prevalent approach to address the semantic gap problem which often arises in product search on tail queries. In contrast, popular queries typi…

cs.CL2020

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks

Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai +1

Self-supervised pre-training of transformer models has revolutionized NLP applications. Such pre-training with language modeling objectives provides a useful initial point for para…

eess.SY2020★ 20 cited

Emission-aware Energy Storage Scheduling for a Greener Grid

Rishikesh Jha, Stephen Lee, Srinivasan Iyengar +3

Reducing our reliance on carbon-intensive energy sources is vital for reducing the carbon footprint of the electric grid. Although the grid is seeing increasing deployments of clea…

cs.CL2019★ 3 cited

Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks

Trapit Bansal, Rishikesh Jha, Andrew McCallum

Self-supervised pre-training of transformer models has shown enormous success in improving performance on a number of downstream tasks. However, fine-tuning on a new task still req…