most citedAdopting a human developmental visual diet yields robust, shape-based AI vision

1 citations · 1 across the 6 of their papers we have counts for

collaborators

10 papers

cs.DL2026

Towards Nexus-Score: Metadata Gaps Limit Scholarly AI Attribution

Aadi Narayana Varma Dantuluri, Sushrut Thorat, Paras Chopra

Artificial intelligence systems increasingly mediate how science is found and credited. We asked whether missing metadata prevents AI systems from crediting work. As a boundary tes…

q-bio.NC2026

The illusory simplicity of the feedforward pass: evidence for the dynamical nature of stimulus encoding along the primate ventral stream

Daniel Anthes, Sushrut Thorat, Anna Mitola +3

In studying primate vision, a large body of work focuses on the first feedforward sweep. During this initial time window, information is thought to pass through ventral stream regi…

cs.AI2026

Frontier Coding Agents Use Metaprogramming to Adapt to Unfamiliar Programming Languages

Aman Sharma, Sushrut Thorat, Paras Chopra

LLM-based coding agents are usually evaluated in familiar software settings: mainstream languages, common libraries, and public repositories. These benchmarks remain important, but…

cs.LG2026

Represented Is Not Computed: A Causal Test of Candidate Algorithmic Intermediates in a Transformer

Ishita Darade, Sushrut Thorat

Structured prompts require integrating components according to task-relevant relations. How a network implements this integration is often hard to judge in language or vision, wher…

cs.LG2026

Path Integration and Object-Location Binding Emerge in an Action-Conditioned Predictive Sequence Network

Linda Ariel Ventura, Victoria Bosch, Tim C Kietzmann +1

Adaptive cognition requires structured internal models of objects and their relations. Predictive neural networks are often proposed to learn such world models, but how these are i…

cs.LG20261 cited

Adopting a human developmental visual diet yields robust, shape-based AI vision

Zejin Lu, Sushrut Thorat, Radoslaw M Cichy +1

Despite years of research and the dramatic scaling of artificial intelligence (AI) systems, a striking misalignment between artificial and human vision persists. Contrary to humans…