activity
20232026
most citedPrithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications

22 citations · 85 across the 24 of their papers we have counts for

collaborators
Showing 2026Show all

9 papers · 1 filter

quant-ph2026

The exact LCU sampling overhead of collective diagonal unitaries: resonances and a continued-fraction dichotomy

Zhihui Wang, Sujit Roy, Manil Maskey +1

The minimal sampling overhead of the quadratic collective phase over one layer of single-qubit rotations is decided by the continued fraction of . Here is a c…

cs.LG2026

Transferability and operational reliability of a Prithvi crop classification foundation model under phenological and geographic shift across three continents

Venkatesh Kolluru, Rajat Shinde, Abdelhak Marouane +7

Fine-tuned geospatial foundation models (GeoFMs) pretrained on large satellite archives have been shown to improve crop classification accuracy and geographic transferability. Howe…

quant-ph2026

Structured Quantum Kernels for Chaotic Forecasting

Zhihui Wang, Sujit Roy, Ata Akbari +2

Quantum kernels promise exponentially large feature spaces, but expressive circuits render their Gram matrices uninformative, bandwidth tuning collapses them toward classical RBF,…

cs.CV2026

Multimodal-Multiresolution Foundation Model for Lunar Remote Sensing

Paolo Fraccaro, Gabby Nyirjesy, Daniela Szwarcman +19

We present a multimodal foundation model for lunar remote sensing, pretrained from scratch on SomBench, a geographically partitioned corpus of nearly two million co-registered tile…

cs.CV2026

SomBench: Benchmark Dataset for Advancing Machine Learning in Lunar Science

Himanshu Patil, Gabby Nyirjesy, Rachel A. Slank +19

Lunar orbital missions, such as Lunar Reconnaissance Orbiter, Kaguya/SELENE, Gravity Recovery and Interior Laboratory, and Lunar Prospector, among others, provide rich multi-instru…

cs.AI2026

Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events

Venkatesh Kolluru, Rajat Shinde, Abdelhak Marouane +6

Floods are among the most destructive natural hazards, and their increasing frequency under climate change makes satellite-based inundation mapping essential for disaster response.…

astro-ph.EP2026

Towards a Foundation Model for the Martian Atmosphere

Sujit Roy, Udayshankar Nair, Yuling Wu +16

The martian atmosphere hosts dynamical phenomena ranging from planet-encircling dust storms to mesoscale orographic clouds and nocturnal low-level jets. General circulation model s…

cs.LG2026

PDE foundation models are skillful AI weather emulators for the Martian atmosphere

Johannes Schmude, Sujit Roy, Liping Wang +10

We show that AI foundation models that are pretrained on numerical solutions to a diverse corpus of partial differential equations can be adapted and fine-tuned to obtain skillful…

cs.CY2026

The CitizenQuery Benchmark: A Novel Dataset and Evaluation Pipeline for Measuring LLM Performance in Citizen Query Tasks

Neil Majithia, Rajat Shinde, Zo Chapman +5

"Citizen queries" are questions asked by an individual about government policies, guidance, and services that are relevant to their circumstances, encompassing a range of topics in…