Scholar
Sagnik Bhattacharya
Google Scholar ID: xNb5T5IAAAAJ
ML Ph.D. Student, Stanford University
Deep Generative Modeling
Model Compression
Inference Efficiency
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Citations & Impact
All-time
Citations
101
H-index
6
i10-index
4
Publications
20
Co-authors
22
list available
Publications
10 items
On the Fundamental Limits of LLMs at Scale
2025
Cited
0
Transformer-Based Sparse CSI Estimation for Non-Stationary Channels
2025
Cited
0
minPIC: Towards Optimal Power Allocation in Multi-User Interference Channels
2025
Cited
0
AI Enabled 6G for Semantic Metaverse: Prospects, Challenges and Solutions for Future Wireless VR
2025
Cited
0
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
2025
Cited
0
LZMidi: Compression-Based Symbolic Music Generation
2025
Cited
0
Retrieval Augmented Generation with Multi-Modal LLM Framework for Wireless Environments
2025
Cited
0
An Information-Theoretic Efficient Capacity Region for Multi-User Interference Channel
2025
Cited
0
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Co-authors
9 total
Muhammad Ahmed Mohsin
Ph.D @ Stanford University
Ahsan Bilal
Graduate CS @ University of Oklahoma
Hassan Rizwan
PhD University of California, Riverside
Muhammad Umer
Stanford University
Tsachy Weissman
Professor of Electrical Engineering at Stanford University
Connor Ding
Stanford University
Mohammad Mozaffari
Ericsson Research
Muhammad Ali Jamshed
University of Glasgow
