Benedikt Alkin

15 papers A* 4Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autoregressive deep learning for real-time simulation of soft tissue dynamics during virtual neurosurgery.
CoRR
Fabian Greifeneder, Wolfgang Fenz, Benedikt Alkin, Johannes Brandstetter, Michael Giretzlehner, Philipp Moser
2025 J jnl
AB-UPT for Automotive and Aerospace Applications.
CoRR
Benedikt Alkin, Richard Kurle, Louis Serrano, Dennis Just, Johannes Brandstetter
2025 J jnl
AB-UPT: Scaling Neural CFD Surrogates for High- Fidelity Automotive Aerodynamics Simulations via Anchored- Branched Universal Physics Transformers.
Trans. Mach. Learn. Res.
Benedikt Alkin, Maurits Bleeker, Richard Kurle, Tobias Kronlachner, Reinhard Sonnleitner, Matthias Dorfer, Johannes Brandstetter
2025 A* conf
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations.
ICLR
Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter
2025 J jnl
NeuralCFD: Deep Learning on High-Fidelity Automotive Aerodynamics Simulations.
CoRR
Maurits Bleeker, Matthias Dorfer, Tobias Kronlachner, Reinhard Sonnleitner, Benedikt Alkin, Johannes Brandstetter
2025 J jnl
Towards scientific machine learning for granular material simulations - challenges and opportunities.
CoRR
Marc Fransen, Andreas Fürst, Deepak Tunuguntla, Daniel N. Wilke, Benedikt Alkin, Daniel Barreto, Johannes Brandstetter, Miguel Angel Cabrera, Xinyan Fan, Mengwu Guo, Bram Kieskamp, Krishna Kumar, John Morrissey, Jonathan Nuttall, Jin Y. Ooi, Luisa Orozco, Stefanos-Aldo Papanicolopulos, Tongming Qu, Dingena Schott, Takayuki Shuku, WaiChing Sun, Thomas Weinhart, Dongwei Ye, Hongyang Cheng
2025 A* conf
Vision-LSTM: xLSTM as Generic Vision Backbone.
ICLR
Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter
2024 A* conf
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget.
AAAI
Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter
2024 J jnl
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations.
CoRR
Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter
2024 J jnl
NeuralDEM - Real-time Simulation of Industrial Particulate Flows.
CoRR
Benedikt Alkin, Tobias Kronlachner, Samuele Papa, Stefan Pirker, Thomas Lichtenegger, Johannes Brandstetter
2024 J jnl
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation.
CoRR
Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter
2024 J jnl
Universal Physics Transformers.
CoRR
Benedikt Alkin, Andreas Fürst, Simon Schmid, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter
2024 A* conf
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators.
NeurIPS
Benedikt Alkin, Andreas Fürst, Simon Schmid, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter
2024 J jnl
Vision-LSTM: xLSTM as Generic Vision Backbone.
CoRR
Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter
2023 J jnl
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget.
CoRR
Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter