Autoencoders with Variable Sized Latent Vector for Image Compression. - Alekh Karkada Ashok; Nagaraju Palani (CVPR Workshops, 2018)

Automatic Inspection of Utility Scale Solar Power Plants using Deep Learning. - Alekh Karkada Ashok; Chandan G; Adithya Bhat; Kaustubh Karnataki; Ganesh Shankar (CoRR, 2019)

Recurrent neural circuits for contour detection. - Drew Linsley; Junkyung Kim; Alekh Ashok; Thomas Serre (ICLR, 2020)

Stable and expressive recurrent vision models. - Drew Linsley; Alekh Karkada Ashok; Lakshmi Narasimhan Govindarajan; Rex G. Liu; Thomas Serre (NeurIPS, 2020)

Computing a human-like reaction time metric from stable recurrent vision models. - Lore Goetschalckx; Lakshmi Narasimhan Govindarajan; Alekh Karkada Ashok; Aarit Ahuja; David L. Sheinberg; Thomas Serre (NeurIPS, 2023)

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception. - Drew Linsley; Pinyuan Feng; Thibaut Boissin; Alekh Karkada Ashok; Thomas Fel; Stephanie Olaiya; Thomas Serre (CoRR, 2023)

Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning. - Lakshmi Narasimhan Govindarajan; Rex G. Liu; Drew Linsley; Alekh Karkada Ashok; Max Reuter; Michael J. Frank; Thomas Serre (CoRR, 2023)

The 3D-PC: a benchmark for visual perspective taking in humans and machines. - Drew Linsley; Peisen Zhou; Alekh Karkada Ashok; Akash Nagaraj; Gaurav Gaonkar; Francis E. Lewis; Zygmunt Pizlo; Thomas Serre (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 (ICLR, 2025)