Hebart, Martin N.

4 publications

TMLR 2025 Getting Aligned on Representational Alignment Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J Cueva, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine Hermann, Kerem Oktar, Klaus Greff, Martin N Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus Robert Muller, Mariya Toneva, Thomas L. Griffiths

NeurIPS 2022 VICE: Variational Interpretable Concept Embeddings Lukas Muttenthaler, Charles Y Zheng, Patrick McClure, Robert A Vandermeulen, Martin N Hebart, Francisco Pereira

NeurIPSW 2020 The Representation of Object Drawings and Sketches in Deep Convolutional Neural Networks Johannes Singer, Katja Seeliger, Martin N Hebart

ICLR 2019 Revealing Interpretable Object Representations from Human Behavior Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart