Arpan Biswas - RankMe

23 papers Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation. CoRR Arpan Biswas, Hiroshi Funakubo, Yongtao Liu
2026	J	`jnl`	Physically-Constrained Autoencoder-Assisted Bayesian Optimization for Refinement of High-Dimensional Defect-Sensitive Single Crystalline Structure. CoRR Agada Joseph Oche, Andrew McAninch, Haley Day, Yasemin Tanyu, Ewan McCombs, Seyed M. Koohpayeh, Brian H. Toby, Yishu Wang, Arpan Biswas
2025	J	`jnl`	A Bi-channel Aided Stitching of Atomic Force Microscopy Images. CoRR Huanhuan Zhao, Ruben Millan-Solsona, Checa Nualart Marti, Spenser R. Brown, Jennifer Lynn Morrell-Falvey, Liam Collins, Arpan Biswas
2025	J	`jnl`	A Fourier-Based Global Denoising Model for Smart Artifacts Removing of Microscopy Images. CoRR 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
2025	J	`jnl`	A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions. CoRR Agada Joseph Oche, Ademola Glory Folashade, Tirthankar Ghosal, Arpan Biswas
2025	J	`jnl`	Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments. CoRR Ralph Bulanadi, Jawad Chowdhury, Hiroshi Funakubo, Maxim A. Ziatdinov, Rama K. Vasudevan, Arpan Biswas, Yongtao Liu
2025	J	`jnl`	Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. CoRR 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
2025	J	`jnl`	Role of Large Language Models and Retrieval-Augmented Generation for Accelerating Crystalline Material Discovery: A Systematic Review. CoRR Agada Joseph Oche, Arpan Biswas
2024	J	`jnl`	SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions. CoRR Arpan Biswas, Rama K. Vasudevan, Rohit Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu
2024	J	`jnl`	Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization. J. Comput. Inf. Sci. Eng. Arpan Biswas, Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
2024	J	`jnl`	Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities. CoRR Arpan Biswas, Sai Mani Prudhvi Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
2023	J	`jnl`	A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-Box Design Problems. J. Comput. Inf. Sci. Eng. Arpan Biswas, Claudio Fuentes, Christopher Hoyle
2023	J	`jnl`	A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments. CoRR Arpan Biswas, Yongtao Liu, Nicole Creange, Yu-Chen Liu, Stephen Jesse, Jan-Chi Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Rama K. Vasudevan
2023	J	`jnl`	Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis. CoRR Arpan Biswas, Maxim A. Ziatdinov, Sergei V. Kalinin
2023	J	`jnl`	Combining variational autoencoders and physical bias for improved microscopy data analysis Mach. Learn. Sci. Technol. Arpan Biswas, Maxim A. Ziatdinov, Sergei V. Kalinin
2023	J	`jnl`	Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy. CoRR Sergei V. Kalinin, Yongtao Liu, Arpan Biswas, Gerd Duscher, Utkarsh Pratiush, Kevin Roccapriore, Maxim A. Ziatdinov, Rama K. Vasudevan
2023	J	`jnl`	Optimizing training trajectories in variational autoencoders via latent Bayesian optimization approach Mach. Learn. Sci. Technol. Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
2022	J	`jnl`	Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach. CoRR Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
2021	J	`jnl`	A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems. CoRR Arpan Biswas, Claudio Fuentes, Christopher Hoyle
2021	J	`jnl`	Exploring Architectures for Integrated Resilience Optimization. J. Aerosp. Inf. Syst. Daniel E. Hulse, Arpan Biswas, Christopher Hoyle, Irem Y. Tumer, Chetan S. Kulkarni, Kai Goebel
2008	J	`jnl`	Representation of heterogeneous material properties in the Core Product Model. Eng. Comput. Arpan Biswas, Steven J. Fenves, Vadim Shapiro, Ram D. Sriram
2004	J	`jnl`	Approximate distance fields with non-vanishing gradients. Graph. Model. Arpan Biswas, Vadim Shapiro
2004	J	`jnl`	Heterogeneous material modeling with distance fields. Comput. Aided Geom. Des. Arpan Biswas, Vadim Shapiro, Igor G. Tsukanov