Razvan Marinescu

According to our database, Razvan Marinescu authored at least 19 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hessian Matching for Machine-Learned Coarse-Grained Molecular Dynamics.

Sanya Murdeshwar, Sanjit Shashi, Kevin Bachelor, William Noid, Ashwin Lokapally, Razvan Marinescu

CoRR, May, 2026

Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI.

Prathamesh Pradeep Khole, Mario M. Brenes, Zahra Kais Petiwala, Ehsan Mirafzali, Utkarsh Gupta, Jing-Rebecca Li, Andrada Ianus, Razvan Marinescu

CoRR, March, 2026

Holographic generative flows with AdS/CFT.

Ehsan Mirafzali, Sanjit Shashi, Sanya Murdeshwar, Edgar Shaghoulian, Daniele Venturi, Razvan Marinescu

CoRR, January, 2026

MedPI: Evaluating AI Systems in Medical Patient-facing Interactions.

Diego Fajardo, Oleksii Proniakin, Victoria-Elisabeth Gruber, Razvan Marinescu

CoRR, January, 2026

2025

Automatic Replication of LLM Mistakes in Medical Conversations.

Oleksii Proniakin, Diego Fajardo, Ruslan Nazarenko, Razvan Marinescu

CoRR, December, 2025

A Women's Health Benchmark for Large Language Models.

Victoria-Elisabeth Gruber, Razvan Marinescu, Diego Fajardo, Amin H. Nassar, Christopher Arkfeld, Alexandria Ludlow, Shama Patel, Mehrnoosh Samaei, Valerie Klug, Anna Huber, Marcel Gühner, Albert Botta i Orfila, Irene Lagoja, Kimya Tarr, Haleigh Larson, Mary Beth Howard

CoRR, December, 2025

A Standardized Benchmark for Machine-Learned Molecular Dynamics using Weighted Ensemble Sampling.

Alexander Aghili, Andy Bruce, Daniel Sabo, Sanya Murdeshwar, Kevin Bachelor, Ionut Mistreanu, Ashwin Lokapally, Razvan Marinescu

CoRR, October, 2025

Medical Interpretability and Knowledge Maps of Large Language Models.

Razvan Marinescu, Victoria-Elisabeth Gruber, Diego Fajardo

CoRR, October, 2025

Active Learning for Machine Learning Driven Molecular Dynamics.

Kevin Bachelor, Sanya Murdeshwar, Daniel Sabo, Razvan Marinescu

CoRR, September, 2025

TICA-Based Free Energy Matching for Machine-Learned Molecular Dynamics.

Alexander Aghili, Andy Bruce, Daniel Sabo, Razvan Marinescu

CoRR, September, 2025

RibPull: Implicit Occupancy Fields and Medial Axis Extraction for CT Ribcage Scans.

Emmanouil Nikolakakis, Amine Ouasfi, Julie Digne, Razvan Marinescu

CoRR, September, 2025

A Malliavin calculus approach to score functions in diffusion generative models.

Ehsan Mirafzali, Frank Proske, Utkarsh Gupta, Daniele Venturi, Razvan Marinescu

CoRR, July, 2025

Malliavin-Bismut Score-based Diffusion Models.

Ehsan Mirafzali, Utkarsh Gupta, Patrick Wyrod, Frank Proske, Daniele Venturi, Razvan Marinescu

CoRR, March, 2025

ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator.

Prathamesh Pradeep Khole, Zahra Kais Petiwala, Shri Prathaa Magesh, Ehsan Mirafzali, Utkarsh Gupta, Jing-Rebecca Li, Andrada Ianus, Razvan Marinescu

CoRR, February, 2025

2024

Language Models for Music Medicine Generation.

Emmanouil Nikolakakis, Joann Ching, Emmanouil Karystinaios, Gabrielle Sipin, Gerhard Widmer, Razvan Marinescu

CoRR, 2024

AFEN: Respiratory Disease Classification using Ensemble Learning.

Rahul Nadkarni, Emmanouil Nikolakakis, Razvan Marinescu

CoRR, 2024

BMapOpt: Optimization of Brain Tissue Probability Maps using a Differentiable MRI Simulator.

Utkarsh Gupta, Emmanouil Nikolakakis, Moritz Zaiss, Razvan Marinescu

CoRR, 2024

GaSpCT: Gaussian Splatting for Novel CT Projection View Synthesis.

Emmanouil Nikolakakis, Utkarsh Gupta, Jonathan Vengosh, Justin Bui, Razvan Marinescu

CoRR, 2024

SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks.

Sreyes Venkatesh, Razvan Marinescu, Jason K. Eshraghian

Proceedings of the Neuro Inspired Computational Elements Conference, 2024