Mario Krenn - RankMe

40 papers A* 1Journal 39

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Discovering emergent connections in quantum physics research via dynamic word embeddings. Mach. Learn. Sci. Technol. Felix Frohnert, Xuemei Gu, Mario Krenn, Evert P. L. van Nieuwenburg
2025	J	`jnl`	Forecasting high-impact research topics via machine learning on evolving knowledge graphs. Mach. Learn. Sci. Technol. Xuemei Gu, Mario Krenn
2025	J	`jnl`	Neural surrogates for designing gravitational wave detectors. CoRR Carlos Ruiz-Gonzalez, Sören Arlt, Sebastian Lehner, Arturs Berzins, Yehonathan Drori, Rana X. Adhikari, Johannes Brandstetter, Mario Krenn
2025	J	`jnl`	Quantum computing and artificial intelligence: status and perspectives. CoRR Giovanni Acampora, Andris Ambainis, Natalia Ares, Leonardo Banchi, Pallavi Bhardwaj, Daniele Binosi, G. Andrew D. Briggs, Tommaso Calarco, Vedran Dunjko, Jens Eisert, Olivier Ezratty, Paul Erker, Federico Fedele, Elies Gil-Fuster, Martin Gärttner, Mats Granath, Markus Heyl, Iordanis Kerenidis, Matthias Klusch, Anton Frisk Kockum, Richard Kueng, Mario Krenn, Jörg Lässig, Antonio Macaluso, Sabrina Maniscalco, Florian Marquardt, Kristel Michielsen, Gorka Muñoz-Gil, Daniel Müssig, Hendrik Poulsen Nautrup, Evert P. L. van Nieuwenburg, Roman Orus, Jörg Schmiedmayer, Markus Schmitt, Philipp Slusallek, Filippo Vicentini, Christof Weitenberg, Frank K. Wilhelm
2025	J	`jnl`	Towards autonomous quantum physics research using LLM agents with access to intelligent tools. CoRR Sören Arlt, Xuemei Gu, Mario Krenn
2024	J	`jnl`	Deep quantum graph dreaming: deciphering neural network insights into quantum experiments. Mach. Learn. Sci. Technol. Tareq Jaouni, Sören Arlt, Carlos Ruiz-Gonzalez, Ebrahim Karimi, Xuemei Gu, Mario Krenn
2024	J	`jnl`	Discovering emergent connections in quantum physics research via dynamic word embeddings. CoRR Felix Frohnert, Xuemei Gu, Mario Krenn, Evert P. L. van Nieuwenburg
2024	J	`jnl`	Forecasting high-impact research topics via machine learning on evolving knowledge graphs. CoRR Xuemei Gu, Mario Krenn
2024	J	`jnl`	Generation and human-expert evaluation of interesting research ideas using knowledge graphs and large language models. CoRR Xuemei Gu, Mario Krenn
2024	J	`jnl`	Meta-Designing Quantum Experiments with Language Models. CoRR Sören Arlt, Haonan Duan, Felix Li, Sang Michael Xie, Yuhuai Wu, Mario Krenn
2024	J	`jnl`	Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics. CoRR Philipp Schmidt, Sören Arlt, Carlos Ruiz-Gonzalez, Xuemei Gu, Carla Rodríguez, Mario Krenn
2024	J	`jnl`	Virtual reality for understanding artificial-intelligence-driven scientific discovery with an application in quantum optics. Mach. Learn. Sci. Technol. Philipp Schmidt, Sören Arlt, Carlos Ruiz-Gonzalez, Xuemei Gu, Carla Rodríguez, Mario Krenn
2023	J	`jnl`	Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments. CoRR Tareq Jaouni, Sören Arlt, Carlos Ruiz-Gonzalez, Ebrahim Karimi, Xuemei Gu, Mario Krenn
2023	J	`jnl`	Digital Discovery of 100 diverse Quantum Experiments with PyTheus. Quantum Carlos Ruiz-Gonzalez, Sören Arlt, Jan Petermann, Sharareh Sayyad, Tareq Jaouni, Ebrahim Karimi, Nora Tischler, Xuemei Gu, Mario Krenn
2023	J	`jnl`	Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2023	J	`jnl`	Recent advances in the Self-Referencing Embedding Strings (SELFIES) library. CoRR Alston Lo, Robert Pollice, AkshatKumar Nigam, Andrew D. White, Mario Krenn, Alán Aspuru-Guzik
2022	J	`jnl`	Artificial Intelligence and Machine Learning for Quantum Technologies. CoRR Mario Krenn, Jonas Landgraf, Thomas Foesel, Florian Marquardt
2022	J	`jnl`	Curiosity in exploring chemical spaces: intrinsic rewards for molecular reinforcement learning. Mach. Learn. Sci. Technol. Luca A. Thiede, Mario Krenn, AkshatKumar Nigam, Alán Aspuru-Guzik
2022	J	`jnl`	Design of quantum optical experiments with logic artificial intelligence. Quantum Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik
2022	J	`jnl`	Learning interpretable representations of entanglement in quantum optics experiments using deep generative models. Nat. Mach. Intell. Daniel Flam-Shepherd, Tony C. Wu, Xuemei Gu, Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik
2022	J	`jnl`	On scientific understanding with artificial intelligence. CoRR Mario Krenn, Robert Pollice, Si Yue Guo, Matteo Aldeghi, Alba Cervera-Lierta, Pascal Friederich, Gabriel dos Passos Gomes, Florian Häse, Adrian Jinich, AkshatKumar Nigam, Zhenpeng Yao, Alán Aspuru-Guzik
2022	J	`jnl`	Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2022	J	`jnl`	SELFIES and the future of molecular string representations. CoRR Mario Krenn, Qianxiang Ai, Senja Barthel, Nessa Carson, Angelo Frei, Nathan C. Frey, Pascal Friederich, Théophile Gaudin, Alberto Alexander Gayle, Kevin Maik Jablonka, Rafael F. Lameiro, Dominik Lemm, Alston Lo, Seyed Mohamad Moosavi, José Manuel Nápoles-Duarte, AkshatKumar Nigam, Robert Pollice, Kohulan Rajan, Ulrich Schatzschneider, Philippe Schwaller, Marta Skreta, Berend Smit, Felix Strieth-Kalthoff, Chong Sun, Gary Tom, Guido Falk von Rudorff, Andrew Wang, Andrew D. White, Adamo Young, Rose Yu, Alán Aspuru-Guzik
2022	J	`jnl`	SELFIES and the future of molecular string representations. Patterns Mario Krenn, Qianxiang Ai, Senja Barthel, Nessa Carson, Angelo Frei, Nathan C. Frey, Pascal Friederich, Théophile Gaudin, Alberto Alexander Gayle, Kevin Maik Jablonka, Rafael F. Lameiro, Dominik Lemm, Alston Lo, Seyed Mohamad Moosavi, José Manuel Nápoles-Duarte, AkshatKumar Nigam, Robert Pollice, Kohulan Rajan, Ulrich Schatzschneider, Philippe Schwaller, Marta Skreta, Berend Smit, Felix Strieth-Kalthoff, Chong Sun, Gary Tom, Guido Falk von Rudorff, Andrew Wang, Andrew D. White, Adamo Young, Rose Yu, Alán Aspuru-Guzik
2021	J	`jnl`	Deep molecular dreaming: inverse machine learning for de-novo molecular design and interpretability with surjective representations. Mach. Learn. Sci. Technol. Cynthia Shen, Mario Krenn, Sagi Eppel, Alán Aspuru-Guzik
2021	J	`jnl`	Design of quantum optical experiments with logic artificial intelligence. CoRR Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik
2021	J	`jnl`	Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models. CoRR Daniel Flam-Shepherd, Tony C. Wu, Xuemei Gu, Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik
2021	J	`jnl`	Scientific intuition inspired by machine learning-generated hypotheses. Mach. Learn. Sci. Technol. Pascal Friederich, Mario Krenn, Isaac Tamblyn, Alán Aspuru-Guzik
2020	A*	`conf`	Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space. ICLR AkshatKumar Nigam, Pascal Friederich, Mario Krenn, Alán Aspuru-Guzik
2020	J	`jnl`	Computer-inspired Quantum Experiments. CoRR Mario Krenn, Manuel Erhard, Anton Zeilinger
2020	J	`jnl`	Curiosity in exploring chemical space: Intrinsic rewards for deep molecular reinforcement learning. CoRR Luca A. Thiede, Mario Krenn, AkshatKumar Nigam, Alán Aspuru-Guzik
2020	J	`jnl`	Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations. CoRR Cynthia Shen, Mario Krenn, Sagi Eppel, Alán Aspuru-Guzik
2020	J	`jnl`	Scientific intuition inspired by machine learning generated hypotheses. CoRR Pascal Friederich, Mario Krenn, Isaac Tamblyn, Alán Aspuru-Guzik
2020	J	`jnl`	Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation. Mach. Learn. Sci. Technol. Mario Krenn, Florian Häse, AkshatKumar Nigam, Pascal Friederich, Alán Aspuru-Guzik
2019	J	`jnl`	Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space. CoRR AkshatKumar Nigam, Pascal Friederich, Mario Krenn, Alán Aspuru-Guzik
2019	J	`jnl`	Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics. CoRR Mario Krenn, Anton Zeilinger
2019	J	`jnl`	Quantum Optical Experiments Modeled by Long Short-Term Memory. CoRR Thomas Adler, Manuel Erhard, Mario Krenn, Johannes Brandstetter, Johannes Kofler, Sepp Hochreiter
2019	J	`jnl`	SELFIES: a robust representation of semantically constrained graphs with an example application in chemistry. CoRR Mario Krenn, Florian Häse, AkshatKumar Nigam, Pascal Friederich, Alán Aspuru-Guzik
2017	J	`jnl`	Active learning machine learns to create new quantum experiments. CoRR Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, Hans J. Briegel
2017	J	`jnl`	Quantifying high dimensional entanglement with two mutually unbiased bases. Quantum Paul Erker, Mario Krenn, Marcus Huber