Akash Kundu

According to our database, Akash Kundu authored at least 25 papers between 2021 and 2026.

Collaborative distances:

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

2026

Replay-buffer engineering for noise-robust quantum circuit optimization.

Akash Kundu, Sebastian Feld

CoRR, April, 2026

2025

Ask What Your Country Can Do For You: Towards a Public Red Teaming Model.

Wm. Matthew Kennedy, Cigdem Patlak, Jayraj Dave, Blake Chambers, Aayush Dhanotiya, Darshini Ramiah, Reva Schwartz, Jack Hagen, Akash Kundu, Mouni Pendharkar, Liam Baisley, Theodora Skeadas, Rumman Chowdhury

CoRR, October, 2025

BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search.

Azhar Ikhtiarudin, Aditi Das, Param Thakkar, Akash Kundu

CoRR, July, 2025

AI Through the Human Lens: Investigating Cognitive Theories in Machine Psychology.

Akash Kundu, Rishika Goswami

CoRR, June, 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 Taïk, Morgan Briggs, Patrick Hall, Shomik Jain, Kyra Yee, Spencer Thomas, Sundeep Bhandari, Paul Duncan, Andrew Thompson, Maya Carlyle, Qinghua Lu, Matthew Holmes, Theodora Skeadas

CoRR, May, 2025

TensorRL-QAS: Reinforcement learning with tensor networks for scalable quantum architecture search.

Akash Kundu, Stefano Mangini

CoRR, May, 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, March, 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, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çagatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafal Poswiata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A. Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff

CoRR, February, 2025

Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardware.

Akash Kundu

Mach. Learn. Sci. Technol., 2025

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia.

Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Hieu Minh Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Shi, Yoonchang Sung, Muhammad Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Ríos, Oswaldo Peña, Carlos Rojas, Manuela Chacon-Chamorro, Rubén Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Ruiyang Wu, Chetan Talele, Sunjia Lu, Gema Parreno, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, José Hernández-Orallo, Joel Z. Leibo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search.

Akash Kundu, Stefano Mangini

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DarkBench: Benchmarking Dark Patterns in Large Language Models.

Esben Kran, Jord Nguyen, Akash Kundu, Sami Jawhar, Jinsuk Park, Mateusz Maria Jurewicz

Proceedings of the Thirteenth International Conference on Learning Representations, 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, Mathieu Ciancone, Marion Schaeffer, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Veysel Çagatan, Akash Kundu, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search.

Abhishek Sadhu, Aritra Sarkar, Akash Kundu

Quantum Mach. Intell., December, 2024

From Easy to Hard: Tackling Quantum Problems with Learned Gadgets For Real Hardware.

Akash Kundu, Leopoldo Sarra

CoRR, 2024

KANQAS: Kolmogorov Arnold Network for Quantum Architecture Search.

Akash Kundu, Aritra Sarkar, Abhishek Sadhu

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

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms.

Akash Kundu

CoRR, 2024

Curriculum reinforcement learning for quantum architecture search under hardware errors.

Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Optimizing the Production of Test Vehicles Using Hybrid Constrained Quantum Annealing.

Adam Glos, Akash Kundu, Özlem Salehi

SN Comput. Sci., September, 2023

Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis.

Bao Gia Bach, Akash Kundu, Tamal Acharya, Aritra Sarkar

Entropy, 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 computational action for quantum program synthesis.

Bao Gia Bach, Akash Kundu, Tamal Acharya, Aritra Sarkar

CoRR, 2023

2022

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

2021

Quadratic and Higher-Order Unconstrained Binary Optimization of Railway Dispatching Problem for Quantum Computing.

Krzysztof Domino, Akash Kundu, Krzysztof Krawiec

CoRR, 2021