Falck, Fabian

12 publications

ICML 2025 Implicit Language Models Are RNNs: Balancing Parallelization and Expressivity Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow

ICLRW 2025 Implicit Language Models Are RNNs: Balancing Parallelization and Expressivity Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow

ICML 2025 RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno, Fabian Falck, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier Gonzalez

ICLRW 2025 Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier Gonzalez

TMLR 2024 Approximations to the Fisher Information Metric of Deep Generative Models for Out-of-Distribution Detection Sam Dauncey, Christopher C. Holmes, Christopher Williams, Fabian Falck

ICLRW 2024 Are Large Language Models Bayesian? a Martingale Perspective on In-Context Learning Fabian Falck, Ziyu Wang, Christopher C. Holmes

ICML 2024 Is In-Context Learning in Large Language Models Bayesian? a Martingale Perspective Fabian Falck, Ziyu Wang, Christopher C. Holmes

NeurIPS 2023 A Unified Framework for U-Net Design and Analysis Christopher K. I. Williams, Fabian Falck, George Deligiannidis, Chris C Holmes, Arnaud Doucet, Saifuddin Syed

ICLRW 2023 On Gradients of Deep Generative Models for Representation-Invariant Anomaly Detection Sam Dauncey, Christopher C. Holmes, Christopher Williams, Fabian Falck

AISTATS 2022 Neural Score Matching for High-Dimensional Causal Inference Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris Holmes

NeurIPS 2022 A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck, Christopher K. I. Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C Holmes, Arnaud Doucet, Matthew Willetts

NeurIPS 2021 Multi-Facet Clustering Variational Autoencoders Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C Holmes