Raghav Singhal
6 papers · 2023–2026 · 3 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Mega-Team · Civilization
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Deep Learning
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Generation
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Optimization & Theory
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Healthcare & Medicine
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Natural Language Processing
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Bayesian & Probabilistic
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Core AI
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Keywords
large language model
(2)
generative model
(2)
image reconstruction
(1)
policy learning
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adaptive sampling
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reward function
(1)
disease detection
(1)
diffusion model
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lower bound
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parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
statistical physics
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taylor expansion
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noise distribution
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inference time
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multilingual language model
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denoising score matching
(1)
responsible artificial intelligence
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exact aggregation
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data compliance
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Papers
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
ACL 2026
A General Framework for Inference-time Scaling and Steering of Diffusion Models
ICML 2025
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models
ACL 2025
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
ICML 2024
What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
ICML 2024
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
ICLR 2023