Michael Tschannen
Identifiers
- name variant Michael Tschannen 0.60 · backfill
Papers (25)
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cs.CL · 2025 · author #2647
- SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features cs.CV · 2025 · author #1
- PaliGemma 2: A Family of Versatile VLMs for Transfer cs.CV · 2024 · author #3
- PaliGemma: A versatile 3B VLM for transfer cs.CV · 2024 · author #9
- Finite Scalar Quantization: VQ-VAE Made Simple cs.CV · 2023 · author #4
- PaLI-X: On Scaling up a Multilingual Vision and Language Model cs.CV · 2023 · author #15
- A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark cs.CV · 2019 · author #13
- High-Fidelity Image Generation With Fewer Labels cs.LG · 2019 · author #2
- Recent Advances in Autoencoder-Based Representation Learning cs.LG · 2018 · author #1
- Deep Generative Models for Distribution-Preserving Lossy Compression cs.LG · 2018 · author #1
- Towards Image Understanding from Deep Compression without Decoding cs.CV · 2018 · author #4
- Conditional Probability Models for Deep Image Compression cs.CV · 2018 · author #3
- StrassenNets: Deep Learning with a Multiplication Budget cs.LG · 2017 · author #1
- Convolutional Recurrent Neural Networks for Electrocardiogram Classification cs.LG · 2017 · author #3
- Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees cs.LG · 2017 · author #2
- Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations cs.LG · 2017 · author #3
- A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe cs.LG · 2017 · author #3
- Noisy subspace clustering via matching pursuits cs.LG · 2016 · author #1
- Robust nonparametric nearest neighbor random process clustering cs.LG · 2016 · author #1
- Deep Structured Features for Semantic Segmentation cs.CV · 2016 · author #1
- Discrete Deep Feature Extraction: A Theory and New Architectures cs.LG · 2016 · author #2
- Pursuits in Structured Non-Convex Matrix Factorizations cs.LG · 2016 · author #2
- Dimensionality-reduced subspace clustering stat.ML · 2015 · author #2
- Nonparametric Nearest Neighbor Random Process Clustering stat.ML · 2015 · author #1
- Subspace clustering of dimensionality-reduced data cs.IT · 2014 · author #2
Mentions
- 1507.07105 #2 · backfill · confidence 0.70 Michael Tschannen
- 1504.05059 #1 · backfill · confidence 0.70 Michael Tschannen
- 1404.6818 #2 · backfill · confidence 0.70 Michael Tschannen
- 1910.04867 #13 · arxiv_oai · confidence 0.70 Michael Tschannen
- 2305.18565 #15 · arxiv_oai · confidence 0.70 Michael Tschannen
- 2309.15505 #4 · arxiv_oai · confidence 0.70 Michael Tschannen
Frequent Coauthors
- Eirikur Agustsson 6 shared papers
- Fabian Mentzer 6 shared papers
- Helmut B\"olcskei 6 shared papers
- Xiaohua Zhai 6 shared papers
- Lucas Beyer 5 shared papers
- Mario Lucic 5 shared papers
- Andreas Steiner 4 shared papers
- Daniel Keysers 4 shared papers
- Ibrahim Alabdulmohsin 4 shared papers
- Olivier Bachem 4 shared papers
- Xiao Wang 4 shared papers
- Alexander Kolesnikov 3 shared papers
- Alexey Gritsenko 3 shared papers
- Andr\'e Susano Pinto 3 shared papers
- Basil Mustafa 3 shared papers
- Joan Puigcerver 3 shared papers
- Josip Djolonga 3 shared papers
- Keran Rong 3 shared papers
- Luc Van Gool 3 shared papers
- Martin Jaggi 3 shared papers