Aditya Mohan - RankMe

26 papers A* 1Journal 18Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. J. Data-centric Mach. Learn. Res. Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger Hoos, Marius Lindauer, Theresa Eimer
2026	J	`jnl`	EquiBim: Learning Symmetry-Equivariant Policy for Bimanual Manipulation. CoRR Zhiyuan Zhang, Aditya Mohan, Seungho Han, Wan Shou, Dongyi Wang, Yu She
2026	J	`jnl`	Moments Matter:Stabilizing Policy Optimization using Return Distributions. CoRR Dennis Jabs, Aditya Mohan, Marius Lindauer
2026	J	`jnl`	When Are RL Hyperparameters Benign? A Study in Offline Goal-Conditioned RL. CoRR Jan Malte Töpperwien, Aditya Mohan, Marius Lindauer
2025	J	`jnl`	A Novel Technique for Image Captioning Based on Hierarchical Clustering and Deep Learning. SN Comput. Sci. Rizwan Ur Rahman, Pavan Kumar, Aditya Mohan, Rabia Musheer Aziz, Deepak Singh Tomar
2025	A*	`conf`	Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images. AAAI Aditya Mohan, Andie Gomez-Patron, Matthew Pritchard, Hannah Kerner
2025	J	`jnl`	S2DNet: A self-supervised deraining network using monocular videos. Comput. Vis. Image Underst. Aman Kumar, Aditya Mohan, A. N. Rajagopalan
2024	J	`jnl`	ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. CoRR Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger H. Hoos, Marius Lindauer, Theresa Eimer
2024	J	`jnl`	AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. Trans. Mach. Learn. Res. Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
2024	—	`conf`	Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. GECCO Companion Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
2024	J	`jnl`	Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. CoRR Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
2024	J	`jnl`	Structure in Deep Reinforcement Learning: A Survey and Open Problems. J. Artif. Intell. Res. Aditya Mohan, Amy Zhang, Marius Lindauer
2023	J	`jnl`	AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. CoRR Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
2023	—	`conf`	AutoRL Hyperparameter Landscapes. AutoML Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
2023	J	`jnl`	AutoRL Hyperparameter Landscapes. CoRR Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
2023	J	`jnl`	Contextualize Me - The Case for Context in Reinforcement Learning. Trans. Mach. Learn. Res. Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
2023	—	`conf`	Learning Activation Functions for Sparse Neural Networks. AutoML Mohammad Loni, Aditya Mohan, Mehdi Asadi, Marius Lindauer
2023	J	`jnl`	Learning Activation Functions for Sparse Neural Networks. CoRR Mohammad Loni, Aditya Mohan, Mehdi Asadi, Marius Lindauer
2023	J	`jnl`	MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information. Trans. Mach. Learn. Res. Tim Ruhkopf, Aditya Mohan, Difan Deng, Alexander Tornede, Frank Hutter, Marius Lindauer
2023	J	`jnl`	Structure in Reinforcement Learning: A Survey and Open Problems. CoRR Aditya Mohan, Amy Zhang, Marius Lindauer
2022	—	`conf`	Consistent Multi- and Single-View HDR-Image Reconstruction from Single Exposures. WICED@Eurographics/EuroVis Aditya Mohan, Jing Zhang, Rémi Cozot, Céline Loscos
2022	J	`jnl`	Contextualize Me - The Case for Context in Reinforcement Learning. CoRR Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
2022	J	`jnl`	Towards Meta-learned Algorithm Selection using Implicit Fidelity Information. CoRR Aditya Mohan, Tim Ruhkopf, Marius Lindauer
2018	—	`conf`	Dataset Expansion and Accelerated Computation for Image Classification: A Practical Approach. ICACDS (2) Aditya Mohan, Nafis Uddin Khan
2005	—	`conf`	End-to-end performance characterization of Sensornet multi-hop routing. ICPS Aditya Mohan, Wei Hong Hong, David Gay, Philip Buonadonna, A. Mainwaring
2003	—	`conf`	Speculative routing and update propagation: a kundali centric approach. ICC Aditya Mohan, Vana Kalogeraki