Arpan Biswas

According to our database, Arpan Biswas authored at least 22 papers between 2004 and 2026.

Collaborative distances:

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

2026

Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation.

Arpan Biswas, Hiroshi Funakubo, Yongtao Liu

CoRR, March, 2026

Physically-Constrained Autoencoder-Assisted Bayesian Optimization for Refinement of High-Dimensional Defect-Sensitive Single Crystalline Structure.

Agada Joseph Oche, Andrew McAninch, Haley Day, Yasemin Tanyu, Ewan McCombs, Seyed M. Koohpayeh, Brian H. Toby, Yishu Wang, Arpan Biswas

CoRR, January, 2026

2025

A Fourier-Based Global Denoising Model for Smart Artifacts Removing of Microscopy Images.

Huanhuan Zhao, Connor Vernachio, Laxmi Bhurtel, Wooin Yang, Ruben Millan-Solsona, Spenser R. Brown, Marti Checa, Komal Sharma Agrawal, Adam M. Guss, Liam Collins, Wonhee Ko, Arpan Biswas

CoRR, November, 2025

Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments.

Ralph Bulanadi, Jawad Chowdhury, Hiroshi Funakubo, Maxim A. Ziatdinov, Rama K. Vasudevan, Arpan Biswas, Yongtao Liu

CoRR, August, 2025

Role of Large Language Models and Retrieval-Augmented Generation for Accelerating Crystalline Material Discovery: A Systematic Review.

Agada Joseph Oche, Arpan Biswas

CoRR, August, 2025

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions.

Agada Joseph Oche, Ademola Glory Folashade, Tirthankar Ghosal, Arpan Biswas

CoRR, July, 2025

Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research.

Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark R. Cianciosa, Franklin Curtis, Gregory G. Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory D. Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, M. Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Timothy Reed Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash

CoRR, June, 2025

A Bi-channel Aided Stitching of Atomic Force Microscopy Images.

Huanhuan Zhao, Ruben Millan-Solsona, Checa Nualart Marti, Spenser R. Brown, Jennifer Lynn Morrell-Falvey, Liam Collins, Arpan Biswas

CoRR, March, 2025

2024

Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization.

Arpan Biswas, Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin

J. Comput. Inf. Sci. Eng., 2024

SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions.

Arpan Biswas, Rama K. Vasudevan, Rohit Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu

CoRR, 2024

Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities.

Arpan Biswas, Sai Mani Prudhvi Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin

CoRR, 2024

2023

Combining variational autoencoders and physical bias for improved microscopy data analysis ^∗.

Arpan Biswas, Maxim A. Ziatdinov, Sergei V. Kalinin

Mach. Learn. Sci. Technol., December, 2023

Optimizing training trajectories in variational autoencoders via latent Bayesian optimization approach ^*.

Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin

Mach. Learn. Sci. Technol., March, 2023

A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-Box Design Problems.

Arpan Biswas, Claudio Fuentes, Christopher Hoyle

J. Comput. Inf. Sci. Eng., 2023

Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy.

Sergei V. Kalinin, Yongtao Liu, Arpan Biswas, Gerd Duscher, Utkarsh Pratiush, Kevin Roccapriore, Maxim A. Ziatdinov, Rama K. Vasudevan

CoRR, 2023

A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments.

Arpan Biswas, Yongtao Liu, Nicole Creange, Yu-Chen Liu, Stephen Jesse, Jan-Chi Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Rama K. Vasudevan

CoRR, 2023

Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis.

Arpan Biswas, Maxim A. Ziatdinov, Sergei V. Kalinin

CoRR, 2023

2022

Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach.

Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin

CoRR, 2022

2021

Exploring Architectures for Integrated Resilience Optimization.

Daniel E. Hulse, Arpan Biswas, Christopher Hoyle, Irem Y. Tumer, Chetan S. Kulkarni, Kai Goebel

J. Aerosp. Inf. Syst., October, 2021

2008

Representation of heterogeneous material properties in the Core Product Model.

Arpan Biswas, Steven J. Fenves, Vadim Shapiro, Ram D. Sriram

Eng. Comput., 2008

2004

Approximate distance fields with non-vanishing gradients.

Arpan Biswas, Vadim Shapiro

Graph. Model., 2004

Heterogeneous material modeling with distance fields.

Arpan Biswas, Vadim Shapiro, Igor G. Tsukanov

Comput. Aided Geom. Des., 2004