activity
20222024
most citedReconciling Security and Communication Efficiency in Federated Learning

4 citations · 13 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ML20241 cited

Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process

Yigitcan Comlek, Sandipp Krishnan Ravi, Piyush Pandita +3

Artificial intelligence and machine learning frameworks have served as computationally efficient mapping between inputs and outputs for engineering problems. These mappings have en…

cs.CL2023

Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers

Kangda Wei, Sayan Ghosh, Rakesh R. Menon +1

Recent approaches have explored language-guided classifiers capable of classifying examples from novel tasks when provided with task-specific natural language explanations, instruc…

cs.AI2023

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models

Yiyuan Li, Rakesh R. Menon, Sayan Ghosh +1

Generalized quantifiers (e.g., few, most) are used to indicate the proportions predicates are satisfied (for example, some apples are red). One way to interpret quantifier semantic…

physics.optics2023

Signum phase mask differential microscopy

Jeeban Kumar Nayak, Niladri Modak, Sayan Ghosh +1

We propose and experimentally demonstrate a differential microscopy method to obtain simultaneous amplitude, phase, and quantitative polarization gradient imaging in a single exper…

cs.SI20232 cited

Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media

Julia Mendelsohn, Sayan Ghosh, David Jurgens +1

Social media enables the rapid spread of many kinds of information, from memes to social movements. However, little is known about how information crosses linguistic boundaries. We…

cs.LG20234 cited

When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA

Jessica Zhao, Sayan Ghosh, Akash Bharadwaj +1

Semi-Supervised Learning (SSL) has received extensive attention in the domain of computer vision, leading to development of promising approaches such as FixMatch. In scenarios wher…