Alert button
Picture for Chongli Qin

Chongli Qin

Alert button

Dj

On a continuous time model of gradient descent dynamics and instability in deep learning

Feb 03, 2023
Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin

Figure 1 for On a continuous time model of gradient descent dynamics and instability in deep learning
Figure 2 for On a continuous time model of gradient descent dynamics and instability in deep learning
Figure 3 for On a continuous time model of gradient descent dynamics and instability in deep learning
Figure 4 for On a continuous time model of gradient descent dynamics and instability in deep learning
Viaarxiv icon

Training Generative Adversarial Networks by Solving Ordinary Differential Equations

Oct 28, 2020
Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli

Figure 1 for Training Generative Adversarial Networks by Solving Ordinary Differential Equations
Figure 2 for Training Generative Adversarial Networks by Solving Ordinary Differential Equations
Figure 3 for Training Generative Adversarial Networks by Solving Ordinary Differential Equations
Figure 4 for Training Generative Adversarial Networks by Solving Ordinary Differential Equations
Viaarxiv icon

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Oct 27, 2020
Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy Mann, Pushmeet Kohli

Figure 1 for Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Figure 2 for Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Figure 3 for Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Figure 4 for Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Viaarxiv icon

Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations

Dec 06, 2019
Sven Gowal, Chongli Qin, Po-Sen Huang, Taylan Cemgil, Krishnamurthy Dvijotham, Timothy Mann, Pushmeet Kohli

Figure 1 for Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Figure 2 for Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Figure 3 for Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Figure 4 for Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Viaarxiv icon

An Alternative Surrogate Loss for PGD-based Adversarial Testing

Oct 21, 2019
Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy Mann, Pushmeet Kohli

Figure 1 for An Alternative Surrogate Loss for PGD-based Adversarial Testing
Figure 2 for An Alternative Surrogate Loss for PGD-based Adversarial Testing
Figure 3 for An Alternative Surrogate Loss for PGD-based Adversarial Testing
Figure 4 for An Alternative Surrogate Loss for PGD-based Adversarial Testing
Viaarxiv icon

Adversarial Robustness through Local Linearization

Jul 04, 2019
Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy, Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli

Figure 1 for Adversarial Robustness through Local Linearization
Figure 2 for Adversarial Robustness through Local Linearization
Figure 3 for Adversarial Robustness through Local Linearization
Figure 4 for Adversarial Robustness through Local Linearization
Viaarxiv icon

Verification of Non-Linear Specifications for Neural Networks

Feb 25, 2019
Chongli Qin, Krishnamurthy, Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli

Figure 1 for Verification of Non-Linear Specifications for Neural Networks
Figure 2 for Verification of Non-Linear Specifications for Neural Networks
Figure 3 for Verification of Non-Linear Specifications for Neural Networks
Figure 4 for Verification of Non-Linear Specifications for Neural Networks
Viaarxiv icon

On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

Nov 05, 2018
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Mann, Pushmeet Kohli

Figure 1 for On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Figure 2 for On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Figure 3 for On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Figure 4 for On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Viaarxiv icon