Zobrazeno 1 - 10
of 4 711
pro vyhledávání: '"Ghosal P"'
Autor:
Mahanta, Gunindra Krishna, Roy, Subhashis, Godambe, Sagar, Ghosal, Bitan, Bhatt, Nilay, Bhattacharyya, Subir
Recent observations by the Large High Altitude Air Shower Observatory (LHAASO) detected Ultra High Energy (UHE) photons in the range 100 TeV to 1.4 PeV from twelve sources including Crab nebula. The detection of these photons demands the presence of
Externí odkaz:
http://arxiv.org/abs/2412.14224
Autor:
Sun, Qi, Hong, Pengfei, Pala, Tej Deep, Toh, Vernon, Tan, U-Xuan, Ghosal, Deepanway, Poria, Soujanya
Traditional reinforcement learning-based robotic control methods are often task-specific and fail to generalize across diverse environments or unseen objects and instructions. Visual Language Models (VLMs) demonstrate strong scene understanding and p
Externí odkaz:
http://arxiv.org/abs/2412.11974
Large Language Models (LLMs) have recently demonstrated impressive few-shot learning capabilities through in-context learning (ICL). However, ICL performance is highly dependent on the choice of few-shot demonstrations, making the selection of the mo
Externí odkaz:
http://arxiv.org/abs/2412.05710
Autor:
Agarwal, Kunika, Naik, Sahil Gopalkrishna, Chakraborty, Ananya, Sen, Samrat, Ghosal, Pratik, Paul, Biswajit, Banik, Manik, Patra, Ram Krishna
The zero-error capacity of a noisy classical channel quantifies its ability to transmit information with absolute certainty, i.e., without any error. Unlike Shannon's standard channel capacity, which remains unaffected by pre-shared correlations, zer
Externí odkaz:
http://arxiv.org/abs/2412.04779
Autor:
Szwarcman, Daniela, Roy, Sujit, Fraccaro, Paolo, Gíslason, Þorsteinn Elí, Blumenstiel, Benedikt, Ghosal, Rinki, de Oliveira, Pedro Henrique, Almeida, Joao Lucas de Sousa, Sedona, Rocco, Kang, Yanghui, Chakraborty, Srija, Wang, Sizhe, Kumar, Ankur, Truong, Myscon, Godwin, Denys, Lee, Hyunho, Hsu, Chia-Yu, Asanjan, Ata Akbari, Mujeci, Besart, Keenan, Trevor, Arevalo, Paulo, Li, Wenwen, Alemohammad, Hamed, Olofsson, Pontus, Hain, Christopher, Kennedy, Robert, Zadrozny, Bianca, Cavallaro, Gabriele, Watson, Campbell, Maskey, Manil, Ramachandran, Rahul, Moreno, Juan Bernabe
This technical report presents Prithvi-EO-2.0, a new geospatial foundation model that offers significant improvements over its predecessor, Prithvi-EO-1.0. Trained on 4.2M global time series samples from NASA's Harmonized Landsat and Sentinel-2 data
Externí odkaz:
http://arxiv.org/abs/2412.02732
Autor:
Ghosal, Chitran, Ryee, Siheon, Mamiyev, Zamin, Witt, Niklas, Wehling, Tim O., Tegenkamp, Christoph
Graphene, renowned for its exceptional electronic and optical properties as a robust 2D material, traditionally lacks electronic correlation effects. Proximity coupling offers a promising method to endow quantum materials with novel properties. In th
Externí odkaz:
http://arxiv.org/abs/2412.01329
Autor:
Ghosal, Soumya Suvra, Chakraborty, Souradip, Singh, Vaibhav, Guan, Tianrui, Wang, Mengdi, Beirami, Ahmad, Huang, Furong, Velasquez, Alvaro, Manocha, Dinesh, Bedi, Amrit Singh
With the widespread deployment of Multimodal Large Language Models (MLLMs) for visual-reasoning tasks, improving their safety has become crucial. Recent research indicates that despite training-time safety alignment, these models remain vulnerable to
Externí odkaz:
http://arxiv.org/abs/2411.18688
Autor:
Pal, Samhita, Ghosal, Subhashis
We present a novel Bayesian approach for high-dimensional grouped regression under sparsity. We leverage a sparse projection method that uses a sparsity-inducing map to derive an induced posterior on a lower-dimensional parameter space. Our method in
Externí odkaz:
http://arxiv.org/abs/2411.15713
Cooperative motion in equilibrium phases across two-dimension melting in pure and disordered systems
We uncover the dynamics of particles with Gaussian core interactions across melting in pure and disordered two-dimensional (2D) systems. Intriguing signatures of cooperative motion of particles in string-like paths are found at low temperatures. Such
Externí odkaz:
http://arxiv.org/abs/2411.15654
In this work, we propose a new way to (non-interactively, verifiably) demonstrate Quantum Advantage by solving the average-case $\mathsf{NP}$ search problem of finding a solution to a system of (underdetermined) multivariate quadratic equations over
Externí odkaz:
http://arxiv.org/abs/2411.14697