Dr Angela Bitto-Nemling



A. Fürst, E. Rumetshofer, J. Lehner, V. T. Tran, F. Tang, H. Ramsauer, D. Kreil, M. Kopp, G. Klambauer, A. Bitto, and S. Hochreiter (2022) CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. Advances in Neural Information Processing Systems (NeurIPS 2022),  35, 20450-20468, 2022-12-06. (more) (download)

K. Schweighofer, M.-c. Dinu, A. Radler, M. Hofmarcher, V. P. Patil, A. Bitto-Nemling, H. Eghbal-zadeh, and S. Hochreiter (2022) A Dataset Perspective on Offline Reinforcement Learning. Conference on Lifelong Learning Agents, Proceedings of Machine Learning Research, 199, 470-517, 2022-11-28. (more) (download)

C. Steinparz, T. Schmied, F. Paischer, M.-C. Dinu, V. Patil, A. Bitto-Nemling, H. Eghbal-zadeh, and S. Hochreiter (2022) Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning. Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR, 199, 441-469, 2022, 2022-11-28. (more) (download)

F. Paischer, T. Adler, V. Patil, A. Bitto-Nemling, M. Holzleitner, S. Lehner, H. Eghbal-zadeh, and S. Hochreiter (2022) History Compression via Language Models in Reinforcement Learning. Proceedings of the 39th International Conference on Machine Learning, PMLR, 162, 17156-17185, 2022-06-28. (more) (download)

B. Schäfl, L. Gruber, A. Bitto-Nemling, and S. Hochreiter (2022) Hopular: Modern Hopfield Networks for Tabular Data. arXiv:2206.00664, 2022-06-01. (more) (download)


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