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05/28/2023
Geometric Algebra Transformers
Problems involving geometric data arise in a variety of fields, includin...
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03/22/2023
EDGI: Equivariant Diffusion for Planning with Embodied Agents
Embodied agents operate in a structured world, often solving tasks with ...
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11/04/2022
Deconfounded Imitation Learning
Standard imitation learning can fail when the expert demonstrators have ...
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03/30/2022
Weakly supervised causal representation learning
Learning high-level causal representations together with a causal model ...
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12/21/2021
Implicit Neural Video Compression
We propose a method to compress full-resolution video sequences with imp...
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12/06/2021
Simulation Intelligence: Towards a New Generation of Scientific Methods
The original "Seven Motifs" set forth a roadmap of essential methods for...
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11/19/2021
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set
We introduce a video compression algorithm based on instance-adaptive le...
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11/16/2020
Hierarchical clustering in particle physics through reinforcement learning
Particle physics experiments often require the reconstruction of decay p...
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10/13/2020
Simulation-based inference methods for particle physics
Our predictions for particle physics processes are realized in a chain o...
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03/31/2020
Flows for simultaneous manifold learning and density estimation
We introduce manifold-modeling flows (MFMFs), a new class of generative ...
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11/04/2019
The frontier of simulation-based inference
Many domains of science have developed complex simulations to describe p...
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09/04/2019
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
The subtle and unique imprint of dark matter substructure on extended ar...
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07/24/2019
MadMiner: Machine learning-based inference for particle physics
The legacy measurements of the LHC will require analyzing high-dimension...
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06/04/2019
Effective LHC measurements with matrix elements and machine learning
One major challenge for the legacy measurements at the LHC is that the l...
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08/02/2018
Likelihood-free inference with an improved cross-entropy estimator
We extend recent work (Brehmer, et. al., 2018) that use neural networks ...
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05/30/2018
Mining gold from implicit models to improve likelihood-free inference
Simulators often provide the best description of real-world phenomena; h...
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04/30/2018
A Guide to Constraining Effective Field Theories with Machine Learning
We develop, discuss, and compare several inference techniques to constra...
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04/30/2018