3 papers
cs.AI2026
Learning Perceptual Geometry of Natural Odor Mixtures from LLM-Derived Descriptors
Farhad Pashakhanloo, Venkatesh N. Murthy
The relationship between odor chemistry and perception remains incompletely understood. Many existing studies focus on the perception of single molecules, whereas natural odors con…
cs.LG2026
Broken scale symmetries in undercomplete linear autoencoders
Farhad Pashakhanloo, Jacob A. Zavatone-Veth
Neural network loss landscapes have many symmetries, which are preserved by gradient flow but broken by finite-stepsize stochastic gradient descent (SGD). A canonical example of su…
q-bio.NC2026
Stimulus symmetries can confound representational similarity analyses
Farhad Pashakhanloo, Jacob A. Zavatone-Veth
What can representational similarity matrices (RSMs) tell us about a neural code? As the popularity of these summary statistics grows, so too does the need for a more complete char…