Aditya Mohan

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 16

Top Topics

Reinforcement Learning

Top Venues

Trans. Mach. Learn. Res.

J. Artif. Intell. Res.

Publications

Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. GECCO Companion (2024)
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. Trans. Mach. Learn. Res. 2024 (2024)
Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. CoRR (2024)
Aditya Mohan, Amy Zhang, Marius Lindauer
Structure in Deep Reinforcement Learning: A Survey and Open Problems. J. Artif. Intell. Res. 79 (2024)
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. CoRR (2023)
Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
AutoRL Hyperparameter Landscapes. AutoML (2023)
Tim Ruhkopf, Aditya Mohan, Difan Deng, Alexander Tornede, Frank Hutter, Marius Lindauer
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information. Trans. Mach. Learn. Res. 2023 (2023)
Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
AutoRL Hyperparameter Landscapes. CoRR (2023)
Aditya Mohan, Amy Zhang, Marius Lindauer
Structure in Reinforcement Learning: A Survey and Open Problems. CoRR (2023)
Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
Contextualize Me - The Case for Context in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Mohammad Loni, Aditya Mohan, Mehdi Asadi, Marius Lindauer
Learning Activation Functions for Sparse Neural Networks. CoRR (2023)
Mohammad Loni, Aditya Mohan, Mehdi Asadi, Marius Lindauer
Learning Activation Functions for Sparse Neural Networks. AutoML (2023)
Aditya Mohan, Jing Zhang, Rémi Cozot, Céline Loscos
Consistent Multi- and Single-View HDR-Image Reconstruction from Single Exposures. WICED@Eurographics/EuroVis (2022)
Aditya Mohan, Tim Ruhkopf, Marius Lindauer
Towards Meta-learned Algorithm Selection using Implicit Fidelity Information. CoRR (2022)
Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
Contextualize Me - The Case for Context in Reinforcement Learning. CoRR (2022)
Aditya Mohan, Nafis Uddin Khan
Dataset Expansion and Accelerated Computation for Image Classification: A Practical Approach. ICACDS (2) (2018)
Aditya Mohan, Wei Hong Hong, David Gay, Philip Buonadonna, A. Mainwaring
End-to-end performance characterization of Sensornet multi-hop routing. ICPS (2005)
Aditya Mohan, Vana Kalogeraki
Speculative routing and update propagation: a kundali centric approach. ICC (2003)