Aditya Gilra

According to our database, Aditya Gilra authored at least 10 papers between 2017 and 2025.

Collaborative distances:

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

2025

Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning.

Guillaume Pourcel, Debabrota Basu, Maxence Ernoult, Aditya Gilra

CoRR, June, 2025

Studying Exploration in RL: An Optimal Transport Analysis of Occupancy Measure Trajectories.

Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra

Trans. Mach. Learn. Res., 2025

2024

Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs.

Chao Han, Debabrota Basu, Michael Mangan, Eleni Vasilaki, Aditya Gilra

CoRR, 2024

Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space.

Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra

CoRR, 2024

2023

Modelling novelty detection in the thalamocortical loop.

Chao Han, Gwendolyn English, Hannes P. Saal, Giacomo Indiveri, Aditya Gilra, Wolfger von der Behrens, Eleni Vasilaki

PLoS Comput. Biol., 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

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, 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

CoRR, 2023

2018

Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory.

Marco Martinolli, Wulfram Gerstner, Aditya Gilra

Frontiers Comput. Neurosci., 2018

Non-Linear Motor Control by Local Learning in Spiking Neural Networks.

Aditya Gilra, Wulfram Gerstner

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory.

Marco Martinolli, Wulfram Gerstner, Aditya Gilra

CoRR, 2017

Predicting non-linear dynamics: a stable local learning scheme for recurrent spiking neural networks.

Aditya Gilra, Wulfram Gerstner

CoRR, 2017