Articles by C. Daniel Freeman

Claim page

C. Daniel Freeman

Activity

Upvotes

Folders

Articles

Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction

15 October 2024 by Miykhaylo Andriluka and others

Neural and Evolutionary Computing, Computer Vision and Pattern Recognition

Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability

14 August 2024 by Jiri Hron and others at

Google

Computation and Language, Artificial Intelligence

Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?

15 November 2023 by C. Daniel Freeman and others at

Google

Computation and Language, Artificial Intelligence

Improving Large Language Model Fine-tuning for Solving Math Problems

16 October 2023 by Yixin Liu and others at

Google

Computation and Language

Transformer-Based Learned Optimization

5 April 2023 by Erik Gärtner and others

Computer Vision and Pattern Recognition

VeLO: Training Versatile Learned Optimizers by Scaling Up

17 November 2022 by Luke Metz and others

Machine Learning, Optimization and Control

Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces

31 October 2022 by Xinghao Zhu and others

Robotics

Practical tradeoffs between memory, compute, and performance in learned optimizers

1 April 2022 by Luke Metz and others at

Google

Machine Learning, Neural and Evolutionary Computing

Gradients are Not All You Need

21 January 2022 by Luke Metz and others

Machine Learning

Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

24 June 2021 by C. Daniel Freeman and others

Robotics, Artificial Intelligence

Training Learned Optimizers with Randomly Initialized Learned Optimizers

14 January 2021 by Luke Metz and others

Machine Learning, Neural and Evolutionary Computing

Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves

23 September 2020 by Luke Metz and others

Machine Learning, Neural and Evolutionary Computing

Using a thousand optimization tasks to learn hyperparameter search strategies

11 March 2020 by Luke Metz and others

Machine Learning

Modern Approaches to Exact Diagonalization and Selected Configuration Interaction with the Adaptive Sampling CI Method

28 December 2019 by Norm Tubman and others

Computational Physics, Materials Science

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

31 October 2019 by C. Daniel Freeman and others

Neural and Evolutionary Computing, Machine Learning

Learned optimizers that outperform SGD on wall-clock and test loss

26 October 2018 by Luke Metz and others

Neural and Evolutionary Computing, Machine Learning

Monte Carlo Tensor Network Renormalization

10 October 2017 by William Huggins and others

Stable quantum memories with limited measurement

7 August 2017 by C. Daniel Freeman and others

Quantum Physics, Statistical Mechanics

Topology and Geometry of Half-Rectified Network Optimization

20 November 2016 by C. Daniel Freeman and Joan Bruna

Machine Learning

Entanglement structure of non-equilibrium steady states

17 August 2016 by Raghu Mahajan and others

Engineering autonomous error correction in stabilizer codes at finite temperature

5 May 2016 by C. Daniel Freeman and others

Quantum Physics, Statistical Mechanics

Relaxation dynamics of the toric code in contact with a thermal reservoir: Finite-size scaling in a low temperature regime

4 December 2014 by C. Daniel Freeman and others

Statistical Mechanics, Quantum Physics

This is an AI-generated summary

Key points

Topics

Machine Learning Quantum Physics Neural and Evolutionary Computing Statistical Mechanics Computation and Language Artificial Intelligence Optimization and Control Robotics Strongly Correlated Electrons Computers and Society Computer Vision and Pattern Recognition Computational Physics Materials Science Chemical Physics High Energy Physics