Stepwise Transition from Direct Encoding to Artificial Ontogeny in Neuroevolution. - Benjamin Inden (ECAL, 2007)

Evolving artificial neural networks with complex genetic architectures. - Benjamin Inden (2007)

Neuroevolution and complexifying genetic architectures for memory and control tasks. - Benjamin Inden (Theory Biosci., 2008)

NEATfields: evolution of neural fields. - Benjamin Inden; Yaochu Jin; Robert Haschke; Helge J. Ritter (GECCO, 2010)

Evolution of Multisensory Integration in Large Neural Fields. - Benjamin Inden; Yaochu Jin; Robert Haschke; Helge J. Ritter (Artificial Evolution, 2011)

Exploiting inherent regularity in control of multilegged robot locomotion by evolving neural fields. - Benjamin Inden; Yaochu Jin; Robert Haschke; Helge J. Ritter (NaBIC, 2011)

Rapid entrainment to spontaneous speech: A comparison of oscillator models. - Benjamin Inden; Zofia Malisz; Petra Wagner; Ipke Wachsmuth (CogSci, 2012)

Open-ended coevolution and the emergence of complex irreducible functional units in iterated number sequence games. - Benjamin Inden (GECCO, 2012)

Evolving neural fields for problems with large input and output spaces. - Benjamin Inden; Yaochu Jin; Robert Haschke; Helge J. Ritter (Neural Networks, 2012)

Neural agents can evolve to reproduce sequences of arbitrary length. - Benjamin Inden; Jürgen Jost (ECAL, 2013)

Timing and entrainment of multimodal backchanneling behavior for an embodied conversational agent. - Benjamin Inden; Zofia Malisz; Petra Wagner; Ipke Wachsmuth (ICMI, 2013)

An examination of different fitness and novelty based selection methods for the evolution of neural networks. - Benjamin Inden; Yaochu Jin; Robert Haschke; Helge J. Ritter; Bernhard Sendhoff (Soft Comput., 2013)

Effects of Several Bioinspired Methods on the Stability of Coevolutionary Complexification. - Benjamin Inden; Jürgen Jost (SSCI, 2015)

An Approach to Sign Language Translation using the Intel RealSense Camera. - Jayan Mistry; Benjamin Inden (CEEC, 2018)

Evolving neural networks to follow trajectories of arbitrary complexity. - Benjamin Inden; Jürgen Jost (Neural Networks, 2019)

Machine learning of symbolic compositional rules with genetic programming: Dissonance treatment in Palestrina. - Torsten Anders; Benjamin Inden (PeerJ Prepr., 2019)

Multiple Pursuers TrailMax Algorithm for Dynamic Environments. - Azizkhon Afzalov; Ahmad Lotfi; Benjamin Inden; Mehmet Emin Aydin (ICAART (2), 2021)

A Strategy-Based Algorithm for Moving Targets in an Environment with Multiple Agents. - Azizkhon Afzalov; Ahmad Lotfi; Benjamin Inden; Mehmet Emin Aydin (SN Comput. Sci., 2022)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)