activity
20192026
most citedCentaur: a foundation model of human cognition

5 citations · 15 across the 10 of their papers we have counts for

collaborators

12 papers

cs.AI2026

Unified Agentic Video Editing Across Levels of Complexity and Creativity

Surabhi S. Nath, Kim Ferres, Milan Petrović +1

Editing is a core component of video production, requiring creative planning and decisions under multiple constraints. Here, we report methods for agentic tooling for automated vid…

cs.CL2026

Post-training makes large language models less human-like

Marcel Binz, Elif Akata, Abdullah Almaatouq +76

Large language models (LLMs) are increasingly used as surrogates for human participants, but it remains unclear which models best capture human behavior and why. To address this, w…

cs.HC2026

Designing Rewards for Rewarding Designs: Demonstrating the Impact of Rewards on the Creative Design Process

Surabhi S Nath, Vindula Jayawardana, Monica Van +2

The creative design process involves transforming abstract goals into concrete outcomes through a series of decisions made under constraints. While such processes are commonly shap…

cs.CV2025★ 1 cited

Solving Spatial Supersensing Without Spatial Supersensing

Vishaal Udandarao, Shyamgopal Karthik, Surabhi S. Nath +3

Cambrian-S aims to take the first steps towards improving video world models with spatial supersensing by introducing (i) two benchmarks, VSI-Super-Recall (VSR) and VSI-Super-Count…

cs.HC2025★ 1 cited

Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI

Surabhi S Nath, Guiomar del Cuvillo y Schröder, Claire E. Stevenson

Can we derive computational metrics to quantify visual creativity in drawings across intelligent agents, while accounting for inherent differences in technical skill and style? To…

cs.CV2025★ 1 cited

Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise

Karahan Sarıtaş, Peter Dayan, Tingke Shen +1

Understanding how humans perceive visual complexity is a key area of study in visual cognition. Previous approaches to modeling visual complexity assessments have often resulted in…

cs.LG2024★ 5 cited

Centaur: a foundation model of human cognition

Marcel Binz, Elif Akata, Matthias Bethge +37

Establishing a unified theory of cognition has been a major goal of psychology. While there have been previous attempts to instantiate such theories by building computational model…

cs.HC2024★ 4 cited

Characterising the Creative Process in Humans and Large Language Models

Surabhi S. Nath, Peter Dayan, Claire Stevenson

Large language models appear quite creative, often performing on par with the average human on creative tasks. However, research on LLM creativity has focused solely on \textit{pro…

cs.CV2024★ 1 cited

Simplicity in Complexity : Explaining Visual Complexity using Deep Segmentation Models

Tingke Shen, Surabhi S Nath, Aenne Brielmann +1

The complexity of visual stimuli plays an important role in many cognitive phenomena, including attention, engagement, memorability, time perception and aesthetic evaluation. Despi…

cs.HC2020

Hear Her Fear: Data Sonification for Sensitizing Society on Crime Against Women in India

Surabhi S Nath

Data sonification is a means of representing data through sound and has been utilized in a variety of applications. Crime against women has been a rising concern in India. We explo…

cs.AI2020★ 2 cited

It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment

Surabhi S. Nath, Vishaal Udandarao, Jainendra Shukla

In recent years, great strides have been made in the field of affective computing. Several models have been developed to represent and quantify emotions. Two popular ones include (…

eess.SP2019

Universal EEG Encoder for Learning Diverse Intelligent Tasks

Baani Leen Kaur Jolly, Palash Aggrawal, Surabhi S Nath +3

Brain Computer Interfaces (BCI) have become very popular with Electroencephalography (EEG) being one of the most commonly used signal acquisition techniques. A major challenge in B…