Quadratic and Higher-Order Unconstrained Binary Optimization of Railway Dispatching Problem for Quantum Computing. - Krzysztof Domino; Akash Kundu; Krzysztof Krawiec (CoRR, 2021)

Quadratic and higher-order unconstrained binary optimization of railway rescheduling for quantum computing. - Krzysztof Domino; Akash Kundu; Özlem Salehi; Krzysztof Krawiec (Quantum Inf. Process., 2022)

Visualizing Quantum Circuit Probability - estimating computational action for quantum program synthesis. - Bao Gia Bach; Akash Kundu; Tamal Acharya; Aritra Sarkar (CoRR, 2023)

Enhancing variational quantum state diagonalization using reinforcement learning techniques. - Akash Kundu; Przemyslaw Bedelek; Mateusz Ostaszewski; Onur Danaci; Yash J. Patel; Vedran Dunjko; Jaroslaw Adam Miszczak (CoRR, 2023)

Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis. - Bao Gia Bach; Akash Kundu; Tamal Acharya; Aritra Sarkar (Entropy, 2023)

Optimizing the Production of Test Vehicles Using Hybrid Constrained Quantum Annealing. - Adam Glos; Akash Kundu; Özlem Salehi (SN Comput. Sci., 2023)

Curriculum reinforcement learning for quantum architecture search under hardware errors. - Yash J. Patel; Akash Kundu; Mateusz Ostaszewski; Xavier Bonet-Monroig; Vedran Dunjko; Onur Danaci (ICLR, 2024)

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms. - Akash Kundu (CoRR, 2024)

YAQQ: Yet Another Quantum Quantizer - Design Space Exploration of Quantum Gate Sets using Novelty Search. - Aritra Sarkar; Akash Kundu; Matthew Steinberg; Sibasish Mishra; Sebastiaan Fauquenot; Tamal Acharya; Jaroslaw Adam Miszczak; Sebastian Feld (CoRR, 2024)

KANQAS: Kolmogorov Arnold Network for Quantum Architecture Search. - Akash Kundu; Aritra Sarkar; Abhishek Sadhu (CoRR, 2024)

From Easy to Hard: Tackling Quantum Problems with Learned Gadgets For Real Hardware. - Akash Kundu; Leopoldo Sarra (CoRR, 2024)

A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search. - Abhishek Sadhu; Aritra Sarkar; Akash Kundu (Quantum Mach. Intell., 2024)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (ICLR, 2025)

DarkBench: Benchmarking Dark Patterns in Large Language Models. - Esben Kran; Jord Nguyen; Akash Kundu; Sami Jawhar; Jinsuk Park; Mateusz Maria Jurewicz (ICLR, 2025)

Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardware. - Akash Kundu (CoRR, 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)

DarkBench: Benchmarking Dark Patterns in Large Language Models. - Esben Kran; Jord Nguyen; Hieu Minh; Akash Kundu; Sami Jawhar; Jinsuk Park; Mateusz Maria Jurewicz (CoRR, 2025)

TensorRL-QAS: Reinforcement learning with tensor networks for scalable quantum architecture search. - Akash Kundu; Stefano Mangini (CoRR, 2025)

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects. - Reva Schwartz; Rumman Chowdhury; Akash Kundu; Heather Frase; Marzieh Fadaee; Tom David; Gabriella Waters; Afaf Taik; Morgan Briggs; Patrick Hall; Shomik Jain; Kyra Yee; et al. (CoRR, 2025)

AI Through the Human Lens: Investigating Cognitive Theories in Machine Psychology. - Akash Kundu; Rishika Goswami (CoRR, 2025)

BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search. - Azhar Ikhtiarudin; Aditi Das; Param Thakkar; Akash Kundu (CoRR, 2025)