Ladislav Rampásek

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Active Learning

Fractional Brownian Motion

Graph Representation

Top Venues

Trans. Mach. Learn. Res.

Publications

Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
Attending to Graph Transformers. Trans. Mach. Learn. Res. 2024 (2024)
Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio
Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR (2024)
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
Attending to Graph Transformers. CoRR (2023)
Dominic Masters, Josef Dean, Kerstin Kläser, Zhiyi Li, Samuel Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W. Fitzgibbon, Shenyang Huang, Ladislav Rampásek, Dominique Beaini
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction. Trans. Mach. Learn. Res. 2023 (2023)
Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W. Fitzgibbon, Shenyang Huang, Ladislav Rampásek, Dominique Beaini
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction. CoRR (2023)
Renming Liu, Semih Cantürk, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
Graph Positional and Structural Encoder. CoRR (2023)
Vijay Prakash Dwivedi, Ladislav Rampásek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
Long Range Graph Benchmark. CoRR (2022)
Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Ladislav Rampásek, Dominique Beaini
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction. CoRR (2022)
Vijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
Long Range Graph Benchmark. NeurIPS (2022)
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
Taxonomy of Benchmarks in Graph Representation Learning. CoRR (2022)
Ladislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
Recipe for a General, Powerful, Scalable Graph Transformer. NeurIPS (2022)
Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
Taxonomy of Benchmarks in Graph Representation Learning. LoG (2022)
Ladislav Rampásek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
Recipe for a General, Powerful, Scalable Graph Transformer. CoRR (2022)
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampásek
Towards a Taxonomy of Graph Learning Datasets. CoRR (2021)
Ladislav Rampásek, Guy Wolf
Hierarchical graph neural nets can capture long-range interactions. CoRR (2021)
Ladislav Rampásek, Guy Wolf
Hierarchical Graph Neural Nets can Capture Long-Range Interactions. MLSP (2021)
Ladislav Rampásek, Daniel Hidru, Petr Smirnov, Benjamin Haibe-Kains, Anna Goldenberg
Dr.VAE: improving drug response prediction via modeling of drug perturbation effects. Bioinform. 35 (19) (2019)
Chun-Hao Chang, Ladislav Rampásek, Anna Goldenberg
Dropout Feature Ranking for Deep Learning Models. CoRR (2017)
Ladislav Rampásek, Randi M. Jimenez, Andrej Lupták, Tomás Vinar, Brona Brejová
RNA motif search with data-driven element ordering. BMC Bioinform. 17 (2016)
Aryan Arbabi, Ladislav Rampásek, Michael Brudno
Cell-free DNA fragment-size distribution analysis for non-invasive prenatal CNV prediction. Bioinform. 32 (11) (2016)
Ladislav Rampásek, Aryan Arbabi, Michael Brudno
Probabilistic method for detecting copy number variation in a fetal genome using maternal plasma sequencing. Bioinform. 30 (12) (2014)