Publications

Cell Press Current Biology

Monkeys engage in visual simulation to solve complex problems

A Ahuja, N Y Rodriguez, Alekh Karkada Ashok *, T Serre, T M. Desrochers, D Sheinberg

arXiv link

Project website

International Conference on Learning Representations (ICLR 2025)

The 3D-PC: a benchmark for visual perspective taking in humans and machines

Drew Linsley*, Peisen Zhou*, Alekh Karkada Ashok *, A Nagaraj, G Gaonkar, Francis E Lewis, Zygmunt Pizlo, Thomas Serre

arXiv link

Project website

International Conference on Learning Representations (ICLR 2025)

Tracking objects that change in appearance with phase synchrony

Sabine Muzellec*, Drew Linsley*, Alekh Karkada Ashok, Ennio Mingolla, Girik Malik, Rufin VanRullen, Thomas Serre

arXiv link

Project website

Neural Information Processing Systems (NeurIPS 2023) - Spotlight (top 3%)

Computing a human-like reaction time metric from stable recurrent vision models

Lore Goetschalckx*, L.N. Govindarajan*, Alekh Karkada Ashok, A. Ahuja, D. Sheinberg & T. Serre

arXiv link

Project website

Neural Information Processing Systems (NeurIPS 2022) - Workshop

The emergence of visual simulation in task-optimized recurrent neural networks

Alekh Karkada Ashok, L. Govindarajan, D. Linsley, D. Sheinberg and T. Serre

arXiv link

Neural Information Processing Systems (NeurIPS 2020) - Spotlight (top 3%)

Stable and expressive recurrent vision models

D. Linsley*, Alekh Karkada Ashok*, L.N. Govindarajan*, R. Liu & T. Serre

arXiv link

Project website

International Conference on Learning Representations (ICLR 2020)

Recurrent neural circuits for contour detection

D. Linsley*, J.K. Kim*, Alekh Karkada Ashok, & T. Serre

OpenReview link

CLIC workshop, Conference on Computer Vision and Pattern Recognition (CVPR 2018 workshop)

Autoencoders with Variable Sized Latent Vector for Image Compression

Alekh Karkada Ashok & Nagaraju Palani

CVF link

ML4D workshop, Neural Information Processing Systems (NeurIPS 2018 workshop)

Automatic Inspection of Utility Scale Solar Power Plants using Deep Learning

Alekh Karkada Ashok, Chandan G, A Bhat, K Karnataki & G Shankar

arXiv link

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