TUM-DAML - VideoAndMovie

Data Analytics and Machine Learning Group at the Technical University of Munich

Prior2Former (ICCV 2025)

4:28

Prior2Former (ICCV 2025)

Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks (TMLR)

7:12

Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks (TMLR)

Joint Out-of-Distribution Filtering and Data Discovery Active Learning (CVPR 2025)

5:07

Joint Out-of-Distribution Filtering and Data Discovery Active Learning (CVPR 2025)

Uncertainty for Active Learning on Graphs (ICML 2024)

6:49

Uncertainty for Active Learning on Graphs (ICML 2024)

Transformers Meet Directed Graphs (ICML 2023)

4:35

Transformers Meet Directed Graphs (ICML 2023)

Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks

5:01

Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks

Are Defenses for Graph Neural Networks Robust?

3:42

Are Defenses for Graph Neural Networks Robust?

Winning the Lottery Ahead of Time: Efficient Early Network Pruning

4:25

Winning the Lottery Ahead of Time: Efficient Early Network Pruning

Ab-initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions

4:29

Ab-initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions

Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness

4:58

Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness

Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions

4:38

Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions

Differentiable DAG Sampling

4:54

Differentiable DAG Sampling

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification

13:41

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification

Neural Temporal Point Processes: A Review

14:19

Neural Temporal Point Processes: A Review

PPRGo: Scaling Graph Neural Networks with Approximate PageRank (KDD 2020)

13:07

PPRGo: Scaling Graph Neural Networks with Approximate PageRank (KDD 2020)

Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks

5:00

Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts

3:02

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts

PPRGo: Scaling Graph Neural Networks with Approximate PageRank

3:00

PPRGo: Scaling Graph Neural Networks with Approximate PageRank