Bizeul, Alice

8 publications

ICLR 2025 Cross-Entropy Is All You Need to Invert the Data Generating Process Patrik Reizinger, Alice Bizeul, Attila Juhos, Julia E Vogt, Randall Balestriero, Wieland Brendel, David Klindt

TMLR 2025 Occam’s Razor for SSL: Memory-Efficient Parametric Instance Discrimination Eric Gan, Patrik Reizinger, Alice Bizeul, Attila Juhos, Mark Ibrahim, Randall Balestriero, David Klindt, Wieland Brendel, Baharan Mirzasoleiman

TMLR 2024 A Probabilistic Model Behind Self- Supervised Learning Alice Bizeul, Bernhard Schölkopf, Carl Allen

NeurIPSW 2024 DIETing: Self-Supervised Learning with Instance Discrimination Learns Identifiable Features Attila Juhos, Alice Bizeul, Patrik Reizinger, Randall Balestriero, David Klindt, Mark Ibrahim, Julia E Vogt, Wieland Brendel

NeurIPSW 2024 DIETing: Self-Supervised Learning with Instance Discrimination Learns Identifiable Features Attila Juhos, Alice Bizeul, Patrik Reizinger, David Klindt, Randall Balestriero, Mark Ibrahim, Julia E Vogt, Wieland Brendel

ICLR 2023 Identifiability Results for Multimodal Contrastive Learning Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E Vogt

NeurIPSW 2023 SimVAE: Narrowing the Gap Between Discriminative & Generative Representation Learning Alice Bizeul, Carl Allen

NeurIPSW 2023 SimVAE: Narrowing the Gap Between Discriminative & Generative Representation Learning Alice Bizeul, Carl Allen