activity
20242026
most citedCan Transformers Smell Like Humans?

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2026

Geometric organization of olfactory descriptor data in the Poincaré disk

Aniss Aiman Medbouhi, Farzaneh Taleb, Giovanni Luca Marchetti +1

Odor quality is commonly represented using high dimensional descriptor profiles, yet their low dimensional organization remains unclear. We investigated whether a two-dimensional h…

cs.LG2026

SCENT: Aligning Mass Spectra with Molecular Structure for Olfactory Perception

Ziqi Zhang, Eunyeong Jin, Miguel Vasco +6

Predicting human olfactory perception from molecular structure has seen remarkable progress, yet these approaches require explicit chemical structure at inference, which is not ava…

cs.CV2025

Human-Aligned Image Models Improve Visual Decoding from the Brain

Nona Rajabi, Antônio H. Ribeiro, Miguel Vasco +3

Decoding visual images from brain activity has significant potential for advancing brain-computer interaction and enhancing the understanding of human perception. Recent approaches…

cs.LG2024★ 1 cited

Can Transformers Smell Like Humans?

Farzaneh Taleb, Miguel Vasco, Antônio H. Ribeiro +2

The human brain encodes stimuli from the environment into representations that form a sensory perception of the world. Despite recent advances in understanding visual and auditory…

cs.RO2024

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems

Yuchong Zhang, Nona Rajabi, Farzaneh Taleb +4

Brain-robot interaction (BRI) empowers individuals to control (semi-)automated machines through their brain activity, either passively or actively. In the past decade, BRI systems…