13 citations · 20 across the 8 of their papers we have counts for
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cs.AI2026
Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning
Mohit Vaishnav, Tanel Tammet
Vision--language models (VLMs) often fail on abstract visual reasoning benchmarks such as Bongard problems, raising the question of whether the main bottleneck lies in reasoning or…
cs.AI2023
PhD Thesis: Exploring the role of (self-)attention in cognitive and computer vision architecture
Mohit Vaishnav
We investigate the role of attention and memory in complex reasoning tasks. We analyze Transformer-based self-attention as a model and extend it with memory. By studying a syntheti…
cs.AI2022★ 4 cited
GAMR: A Guided Attention Model for (visual) Reasoning
Mohit Vaishnav, Thomas Serre
Humans continue to outperform modern AI systems in their ability to flexibly parse and understand complex visual scenes. Here, we present a novel module for visual reasoning, the G…