David Krueger
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
4
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Protecting against simultaneous data poisoning attacks. | Neel Alex, Shoaib Ahmed Siddiqui, Amartya Sanyal, David Krueger |
| 2025 | ICLR | Interpreting Emergent Planning in Model-Free Reinforcement Learning. | Thomas Bush, Stephen Chung, Usman Anwar, Adri Garriga-Alonso, David Krueger |
| 2025 | ICLR | Influence Functions for Scalable Data Attribution in Diffusion Models. | Bruno Kacper Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard E. Turner |
| 2025 | ICLR | Towards Interpreting Visual Information Processing in Vision-Language Models. | Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez |
| 2025 | ICLR | Input Space Mode Connectivity in Deep Neural Networks. | Jakub Vrbel, Ori Shem-Ur, Yaron Oz, David Krueger |
| 2025 | ICML | The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret. | Lukas Fluri, Leon Lang, Alessandro Abate, Patrick Forr, David Krueger, Joar Max Viktor Skalse |
| 2025 | ICML | PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data. | Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez |
| 2025 | ICML | Position: Humanity Faces Existential Risk from Gradual Disempowerment. | Jan Kulveit, Raymond Douglas, Nora Ammann, Deger Turan, David Krueger, David Duvenaud |
| 2025 | ICML | Position: Probabilistic Modelling is Sufficient for Causal Inference. | Bruno Kacper Mlodozeniec, David Krueger, Richard E. Turner |
| 2025 | NAACL | Analyzing (In)Abilities of SAEs via Formal Languages. | Abhinav Menon, Manish Shrivastava, David Krueger, Ekdeep Singh Lubana |
| 2024 | ICLR | Reward Model Ensembles Help Mitigate Overoptimization. | Thomas Coste, Usman Anwar, Robert Kirk, David Krueger |
| 2024 | ICML | Implicit meta-learning may lead language models to trust more reliable sources. | Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Kacper Mlodozeniec, Tegan Maharaj, David Krueger |
| 2023 | ICLR | Broken Neural Scaling Laws. | Ethan Caballero, Kshitij Gupta, Irina Rish, David Krueger |
| 2023 | ICLR | Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics. | Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker |
| 2022 | ICML | Goal Misgeneralization in Deep Reinforcement Learning. | Lauro Langosco di Langosco, Jack Koch, Lee D. Sharkey, Jacob Pfau, David Krueger |
| 2021 | ICML | Out-of-Distribution Generalization via Risk Extrapolation (REx). | David Krueger, Ethan Caballero, Jrn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Rmi Le Priol, Aaron C. Courville |
| 2018 | ICML | Neural Autoregressive Flows. | Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron C. Courville |
| 2017 | ACML | Nested LSTMs. | Joel Ruben Antony Moniz, David Krueger |
| 2017 | ICLR | Deep Nets Don't Learn via Memorization. | David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville |
| 2017 | ICLR | Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. | David Krueger, Tegan Maharaj, Jnos Kramr, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal |
| 2017 | ICML | A Closer Look at Memorization in Deep Networks. | Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien |