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Nikhil Muralidhar

Identifiers

  • name variant Nikhil Muralidhar 0.60 · backfill

Papers (19)

  1. TRIE: An Evaluation Framework for Stochastic PDE Surrogates cs.LG · 2026 · author #3
  2. Can AI Validate Science? Benchmarking LLMs for Accurate Scientific Claim $\rightarrow$ Evidence Reasoning cs.CL · 2025 · author #5
  3. The Prompt is Mightier than the Example cs.LG · 2025 · author #2
  4. Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout cs.LG · 2025 · author #5
  5. DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches cs.LG · 2025 · author #6
  6. DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals cs.LG · 2025 · author #6
  7. NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication eess.SP · 2024 · author #5
  8. Why LLMs Are Bad at Synthetic Table Generation (and what to do about it) cs.LG · 2024 · author #5
  9. Information Guided Regularization for Fine-tuning Language Models cs.CL · 2024 · author #2
  10. Laying Anchors: Semantically Priming Numerals in Language Modeling cs.CL · 2024 · author #4
  11. Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation cs.LG · 2024 · author #5
  12. Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems cs.NI · 2024 · author #4
  13. Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency cs.CL · 2023 · author #2
  14. Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic cs.CL · 2022 · author #2
  15. Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback cs.CR · 2022 · author #2
  16. Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores cs.LG · 2022 · author #1
  17. Using AntiPatterns to avoid MLOps Mistakes cs.LG · 2021 · author #1
  18. Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 cs.LG · 2020 · author #2
  19. Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids cs.LG · 2019 · author #1

Mentions

  • 2506.08235 #5 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2505.18485 #2 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2503.10048 #5 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2406.14541 #5 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2502.18202 #6 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2501.11538 #6 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2411.02428 #5 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2404.01536 #4 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2406.14005 #2 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2402.11760 #5 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2402.01748 #4 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2305.08246 #2 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2211.02098 #2 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2210.02841 #2 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2203.02095 #1 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2107.00079 #1 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2009.11407 #2 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 1911.04240 #1 · arxiv_oai · confidence 0.70 Nikhil Muralidhar
  • 2607.00196 #3 · arxiv_oai · confidence 0.70 Nikhil Muralidhar

Frequent Coauthors