Friction
55 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Robust Adversarial Reinforcement Learning
Deep neural networks coupled with fast simulation and improved computation have led to recent successes in the field of reinforcement learning (RL).
Stochastic Gradient Hamiltonian Monte Carlo
JavierAntoran/Bayesian-Neural-Networks
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Hamiltonian Monte Carlo (HMC) sampling methods provide a mechanism for defining distant proposals with high acceptance probabilities in a Metropolis-Hastings framework, enabling more efficient exploration of the state space than standard random-walk proposals.
Automatic Latent Fingerprint Segmentation
We present a simple but effective method for automatic latent fingerprint segmentation, called SegFinNet.
Machine Learning and System Identification for Estimation in Physical Systems
The main approach to estimation and learning adopted is optimization based.
DeepNeuro: an open-source deep learning toolbox for neuroimaging
Translating neural networks from theory to clinical practice has unique challenges, specifically in the field of neuroimaging.
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
ALRhub/action-conditional-rkn
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We adopt a recent probabilistic recurrent neural network architecture, called Re-current Kalman Networks (RKNs), to model learning by conditioning its transition dynamics on the control actions.
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics
petrikvladimir/video_skills_learning_with_approx_physics
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We evaluate our approach on a 3D reconstruction task that consists of 54 video demonstrations sourced from 9 actions such as pull something from right to left or put something in front of something.
Microscaling Data Formats for Deep Learning
Narrow bit-width data formats are key to reducing the computational and storage costs of modern deep learning applications.
memorAIs: an Optical Character Recognition and Rule-Based Medication Intake Reminder-Generating Solution
Memory-based medication non-adherence is an unsolved problem that is responsible for considerable disease burden in the United States.
Evolution of binary stars and the effect of tides on binary populations
By comparing the results for populations with and without tidal friction we quantify the hitherto ignored systematic effect of tides and show that modelling of tidal evolution in binary systems is necessary in order to draw accurate conclusions from population synthesis work.
