Alekh Karkada Ashok
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View article: Building better models of biological vision by searching for more ecological data diets and learning objectives
Building better models of biological vision by searching for more ecological data diets and learning objectives Open
International audience
View article: Time to consider time: Comparing human reaction times to dynamical signatures from recurrent vision models on a perceptual grouping task
Time to consider time: Comparing human reaction times to dynamical signatures from recurrent vision models on a perceptual grouping task Open
International audience
View article: The 3D-PC: a benchmark for visual perspective taking in humans and machines
The 3D-PC: a benchmark for visual perspective taking in humans and machines Open
Visual perspective taking (VPT) is the ability to perceive and reason about the perspectives of others. It is an essential feature of human intelligence, which develops over the first decade of life and requires an ability to process the 3…
View article: Monkeys engage in visual simulation to solve complex problems
Monkeys engage in visual simulation to solve complex problems Open
Visual simulation — i.e., using internal reconstructions of the world to experience potential future versions of events that are not currently happening — is among the most sophisticated capacities of the human mind. But is this ability in…
View article: Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning Open
Humans learn by interacting with their environments and perceiving the outcomes of their actions. A landmark in artificial intelligence has been the development of deep reinforcement learning (dRL) algorithms capable of doing the same in v…
View article: Computing a human-like reaction time metric from stable recurrent vision models
Computing a human-like reaction time metric from stable recurrent vision models Open
The meteoric rise in the adoption of deep neural networks as computational models of vision has inspired efforts to "align" these models with humans. One dimension of interest for alignment includes behavioral choices, but moving beyond ch…
View article: Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception Open
Deep neural networks (DNNs) are known to have a fundamental sensitivity to adversarial attacks, perturbations of the input that are imperceptible to humans yet powerful enough to change the visual decision of a model. Adversarial attacks h…
View article: Recurrent neural circuits for contour detection
Recurrent neural circuits for contour detection Open
We introduce a deep recurrent neural network architecture that approximates visual cortical circuits. We show that this architecture, which we refer to as the gamma-net, learns to solve contour detection tasks with better sample efficiency…
View article: Stable and expressive recurrent vision models
Stable and expressive recurrent vision models Open
Primate vision depends on recurrent processing for reliable perception. A growing body of literature also suggests that recurrent connections improve the learning efficiency and generalization of vision models on classic computer vision ch…
View article: Recurrent neural circuits for contour detection
Recurrent neural circuits for contour detection Open
International audience
View article: Automatic Inspection of Utility Scale Solar Power Plants using Deep Learning
Automatic Inspection of Utility Scale Solar Power Plants using Deep Learning Open
Solar energy has the potential to become the backbone energy source for the world. Utility scale solar power plants (more than 50 MW) could have more than 100K individual solar modules and be spread over more than 200 acres of land. Tradit…