Aditya Gilra

14 papers A* 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Issues with Measuring Task Complexity via Random Policies in Robotic Tasks.
CoRR
Reabetswe M. Nkhumise, Mohamed S. Talamali, Aditya Gilra
2026 J jnl
Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning.
CoRR
Chao Han, Stefanos Ioannou, Luca Manneschi, Thomas J. Hayward, Michael Mangan, Aditya Gilra, Eleni Vasilaki
2025 J jnl
Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning.
CoRR
Guillaume Pourcel, Debabrota Basu, Maxence Ernoult, Aditya Gilra
2025 J jnl
Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning.
Trans. Mach. Learn. Res.
Chao Han, Stefanos Ioannou, Luca Manneschi, Thomas J. Hayward, Michael Mangan, Aditya Gilra, Eleni Vasilaki
2025 J jnl
Studying Exploration in RL: An Optimal Transport Analysis of Occupancy Measure Trajectories.
Trans. Mach. Learn. Res.
Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra
2024 J jnl
Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs.
CoRR
Chao Han, Debabrota Basu, Michael Mangan, Eleni Vasilaki, Aditya Gilra
2024 J jnl
Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space.
CoRR
Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra
2023 J jnl
Modelling novelty detection in the thalamocortical loop.
PLoS Comput. Biol.
Chao Han, Gwendolyn English, Hannes P. Saal, Giacomo Indiveri, Aditya Gilra, Wolfger von der Behrens, Eleni Vasilaki
2023 J jnl
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
2018 J jnl
Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory.
Frontiers Comput. Neurosci.
Marco Martinolli, Wulfram Gerstner, Aditya Gilra
2018 A* conf
Non-Linear Motor Control by Local Learning in Spiking Neural Networks.
ICML
Aditya Gilra, Wulfram Gerstner
2017 J jnl
Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory.
CoRR
Marco Martinolli, Wulfram Gerstner, Aditya Gilra
2017 J jnl
Non-linear motor control by local learning in spiking neural networks.
CoRR
Aditya Gilra, Wulfram Gerstner
2017 J jnl
Predicting non-linear dynamics: a stable local learning scheme for recurrent spiking neural networks.
CoRR
Aditya Gilra, Wulfram Gerstner