Aditya Mohan

According to our database, Aditya Mohan authored at least 18 papers between 2003 and 2025.

Collaborative distances:

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

2025

A Novel Technique for Image Captioning Based on Hierarchical Clustering and Deep Learning.

Rizwan Ur Rahman, Pavan Kumar, Aditya Mohan, Rabia Musheer Aziz, Deepak Singh Tomar

SN Comput. Sci., April, 2025

S2DNet: A self-supervised deraining network using monocular videos.

Aman Kumar, Aditya Mohan, A. N. Rajagopalan

Comput. Vis. Image Underst., 2025

Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images.

Aditya Mohan, Andie Gomez-Patron, Matthew Pritchard, Hannah Kerner

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks.

Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer

Trans. Mach. Learn. Res., 2024

Structure in Deep Reinforcement Learning: A Survey and Open Problems.

Aditya Mohan, Amy Zhang, Marius Lindauer

J. Artif. Intell. Res., 2024

ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning.

Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger H. Hoos, Marius Lindauer, Theresa Eimer

CoRR, 2024

Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization.

Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information.

Tim Ruhkopf, Aditya Mohan, Difan Deng, Alexander Tornede, Frank Hutter, Marius Lindauer

Trans. Mach. Learn. Res., 2023

Contextualize Me - The Case for Context in Reinforcement Learning.

Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer

Trans. Mach. Learn. Res., 2023

Structure in Reinforcement Learning: A Survey and Open Problems.

Aditya Mohan, Amy Zhang, Marius Lindauer

CoRR, 2023

AutoRL Hyperparameter Landscapes.

Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer

Proceedings of the International Conference on Automated Machine Learning, 2023

Learning Activation Functions for Sparse Neural Networks.

Mohammad Loni, Aditya Mohan, Mehdi Asadi, Marius Lindauer

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Towards Meta-learned Algorithm Selection using Implicit Fidelity Information.

Aditya Mohan, Tim Ruhkopf, Marius Lindauer

CoRR, 2022

Contextualize Me - The Case for Context in Reinforcement Learning.

Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer

CoRR, 2022

Consistent Multi- and Single-View HDR-Image Reconstruction from Single Exposures.

Aditya Mohan, Jing Zhang, Rémi Cozot, Céline Loscos

Proceedings of the Workshop on Intelligent Cinematography and Editing, 2022

2018

Dataset Expansion and Accelerated Computation for Image Classification: A Practical Approach.

Aditya Mohan, Nafis Uddin Khan

Proceedings of the Advances in Computing and Data Science, 2018

2005

End-to-end performance characterization of Sensornet multi-hop routing.

Aditya Mohan, Wei Hong Hong, David Gay, Philip Buonadonna, A. Mainwaring

Proceedings of the International Conference on Pervasive Services 2005, 2005

2003

Speculative routing and update propagation: a kundali centric approach.

Aditya Mohan, Vana Kalogeraki

Proceedings of IEEE International Conference on Communications, 2003