Speculative routing and update propagation: a kundali centric approach. - Aditya Mohan; Vana Kalogeraki (ICC, 2003)

End-to-end performance characterization of Sensornet multi-hop routing. - Aditya Mohan; Wei Hong Hong; David Gay; Philip Buonadonna; A. Mainwaring (ICPS, 2005)

Dataset Expansion and Accelerated Computation for Image Classification: A Practical Approach. - Aditya Mohan; Nafis Uddin Khan (ICACDS (2), 2018)

Consistent Multi- and Single-View HDR-Image Reconstruction from Single Exposures. - Aditya Mohan; Jing Zhang; Rémi Cozot; Céline Loscos (WICED@Eurographics/EuroVis, 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)

Towards Meta-learned Algorithm Selection using Implicit Fidelity Information. - Aditya Mohan; Tim Ruhkopf; Marius Lindauer (CoRR, 2022)

Learning Activation Functions for Sparse Neural Networks. - Mohammad Loni; Aditya Mohan; Mehdi Asadi; Marius Lindauer (AutoML, 2023)

AutoRL Hyperparameter Landscapes. - Aditya Mohan; Carolin Benjamins; Konrad Wienecke; Alexander Dockhorn; Marius Lindauer (AutoML, 2023)

Structure in Reinforcement Learning: A Survey and Open Problems. - Aditya Mohan; Amy Zhang 001; Marius Lindauer (CoRR, 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)

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)

Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. - Carolin Benjamins; Gjorgjina Cenikj; Ana Nikolikj; Aditya Mohan; Tome Eftimov; Marius Lindauer (GECCO Companion, 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)

Structure in Deep Reinforcement Learning: A Survey and Open Problems. - Aditya Mohan; Amy Zhang 001; Marius Lindauer (J. Artif. Intell. Res., 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)

Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images. - Aditya Mohan; Andie Gomez-Patron; Matthew Pritchard; Hannah Kerner (AAAI, 2025)

S2DNet: A self-supervised deraining network using monocular videos. - Aman Kumar; Aditya Mohan; A. N. Rajagopalan 001 (Comput. Vis. Image Underst., 2025)

A Novel Technique for Image Captioning Based on Hierarchical Clustering and Deep Learning. - Rizwan Ur Rahman; Pavan Kumar 004; Aditya Mohan; Rabia Musheer Aziz; Deepak Singh Tomar (SN Comput. Sci., 2025)