Frederic Koehler
26 papers · 2016–2026 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 27% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Frederic Koehler?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Andrej Risteski, Holden Lee, Thuy-Duong Vuong
7 papers
· 2019–2025
· ICLR, COLT, ICML
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Efficiently learning and sampling multimodal distributions with data-based initialization
COLT 2025
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization
ICLR 2024
Statistical Efficiency of Score Matching: The View from Isoperimetry
ICLR 2023
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods
COLT 2022
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
ICLR 2022
Representational aspects of depth and conditioning in normalizing flows
ICML 2021
The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure
ICLR 2019
5 papers whose co-authors appear nowhere else under this name
Overlap Analysis of the Shortest Path Problem: Local Search, Landscapes, and Franz-Parisi Potential
COLT 2026
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
ICML 2024
Multidimensional Scaling: Approximation and Complexity
ICML 2021
From Boltzmann Machines to Neural Networks and Back Again
NeurIPS 2020
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
NeurIPS 2019