activity
20242026
most citedOpen Problem: Active Representation Learning

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.LG2025

Predicting Microbial Interactions Using Graph Neural Networks

Elham Gholamzadeh, Kajal Singla, Nico Scherf

Predicting interspecies interactions is a key challenge in microbial ecology, as these interactions are critical to determining the structure and activity of microbial communities.…

cs.LG2025

The Geometry of Nonlinear Reinforcement Learning

Nikola Milosevic, Nico Scherf

Reward maximization, safe exploration, and intrinsic motivation are often studied as separate objectives in reinforcement learning (RL). We present a unified geometric framework, t…

cond-mat.soft2025

Physical Embodiment Enables Information Processing Beyond Explicit Sensing in Active Matter

Diptabrata Paul, Nikola Milosevic, Nico Scherf +1

Living microorganisms have evolved dedicated sensory machinery to detect environmental perturbations, processing these signals through biochemical networks to guide behavior. Repli…

q-bio.NC2025

Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)

Semih Eren, Deniz Kucukahmetler, Nico Scherf

Accurately predicting distributed cortical responses to naturalistic stimuli requires models that integrate visual, auditory and semantic information over time. We present a hierar…

cs.LG2025

Central Path Proximal Policy Optimization

Nikola Milosevic, Johannes Müller, Nico Scherf

In constrained Markov decision processes, enforcing constraints during training is often thought of as decreasing the final return. Recently, it was shown that constraints can be i…