René's URL Explorer Experiment


Title: Jonas Hübotter

Description: I am a PhD Student at ETH Zurich working with Andreas Krause. My research aims to improve the performance of foundation models by utilizing tools from active learning for few-shot learning.

Keywords:

Mail addresses
jhuebotter@ethz.ch

direct link

Domain: jonhue.github.io

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authorJonas Hübotter

Links:

About (current) https://jonhue.github.io/
Publications https://jonhue.github.io/publications/
Resume https://jonhue.github.io/cv/
Teaching https://jonhue.github.io/teaching/
ETH Zurichhttps://ethz.ch
Learning and Adaptive Systems Grouphttps://las.inf.ethz.ch
ETH Zurichhttps://ethz.ch
Andreas Krausehttps://las.inf.ethz.ch/krausea
Carlos Guestrinhttps://guestrin.su.domains/
Stanfordhttps://www.stanford.edu/
ETH Zurichhttps://ethz.ch
Technical University of Munichhttps://tum.de
ETH Medalhttps://inf.ethz.ch/news-and-events/spotlights/infk-news-channel/2024/02/eth-medals-for-masters-graduates.html
Google Scholarhttps://scholar.google.com/citations?user=pxi_RkwAAAAJ
GitHubhttps://github.com/jonhue
Linkedinhttps://linkedin.com/in/jonhue
Newshttps://jonhue.github.io/news/
1https://arxiv.org/pdf/2601.20802
2https://arxiv.org/pdf/2601.19897
test-time offline RLhttps://arxiv.org/pdf/2507.18809
Aligning Language Models from User Interactionshttps://arxiv.org/pdf/2603.12273
CATS workshophttps://cats-icml.github.io/
Test-Time Scaling with Weak Verifiers via Self-Playhttps://openreview.net/pdf?id=oYX0DXuv7a
DL4C workshophttps://dl4c.github.io/
Meta-GC-TTT: Training Offline Goal-Conditioned Policies for Test-Time Adaptationhttps://openreview.net/pdf?id=LlDHSp7wPH
DEMO workshophttps://decision-making-offline2online-icml2026.github.io/
1https://arxiv.org/pdf/2601.20802
2https://arxiv.org/pdf/2601.19897
SPOT workshophttps://spoticlr.github.io/
LLA workshophttps://lifelongagent.github.io/
TTU workshophttps://ttu-iclr2026.github.io
RSI workshophttps://recursive-workshop.github.io/
majority voting for code generationhttps://openreview.net/attachment?id=hEnnYgRJdC&name=pdf
TTU workshophttps://ttu-iclr2026.github.io
[1]https://arxiv.org/pdf/2601.19897
[2]https://arxiv.org/pdf/2601.20802
[3]https://arxiv.org/pdf/2603.12273
Read morehttps://self-distillation.github.io/
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Modelshttps://arxiv.org/pdf/2509.24510
herehttps://jonhue.github.io/assets/pdf/epfl-lecture.pdf
Selected Publicationshttps://jonhue.github.io/publications/
PDFhttps://arxiv.org/pdf/2603.12273
Codehttps://github.com/lasgroup/user_interactions
Websitehttps://self-distillation.github.io/user_interactions
Threadhttps://x.com/thomasklbg/status/2024471435939307662
PDFhttps://arxiv.org/pdf/2601.20802
Codehttps://github.com/lasgroup/SDPO
Posterhttps://jonhue.github.io/assets/pdf/icml-2026-poster.pdf
Websitehttps://self-distillation.github.io/SDPO
Threadhttps://x.com/jonashuebotter/status/2016950268462608665
PDFhttps://arxiv.org/pdf/2601.19897
Codehttps://github.com/idanshen/Self-Distillation
Websitehttps://self-distillation.github.io/SDFT
Threadhttps://x.com/IdanShenfeld/status/2016818112004305302
PDFhttps://arxiv.org/pdf/2510.04786
Codehttps://github.com/jonhue/ttc
Modelshttps://huggingface.co/collections/lasgroup/test-time-curricula-for-targeted-rl-68def9ada11db5d6122006f5
Datahttps://huggingface.co/datasets/lasgroup/verifiable-corpus
PDFhttps://arxiv.org/pdf/2509.24510
Codehttps://github.com/patrikwolf/ttt_theory
Modelshttps://huggingface.co/lasgroup/clip-topk-sae
Posterhttps://jonhue.github.io/assets/pdf/iclr-2026-poster.pdf
PDFhttps://arxiv.org/pdf/2505.19850
Codehttps://github.com/LeanderDiazBone/discover
Posterhttps://jonhue.github.io/assets/pdf/neurips-2025-poster.pdf
PDFhttps://arxiv.org/pdf/2505.14136
Codehttps://github.com/rbertolissi/ttmerge
Modelshttps://huggingface.co/collections/lasgroup/test-time-model-merging-ttmm-68dc1005331c6139791a5012
Posterhttps://jonhue.github.io/assets/pdf/colm-2025-poster.pdf
PDFhttps://arxiv.org/pdf/2410.08020
Codehttps://github.com/jonhue/activeft
Posterhttps://jonhue.github.io/assets/pdf/iclr-2025-poster.pdf
Slideshttps://jonhue.github.io/assets/pdf/iclr-2025-slides.pdf
PDFhttps://arxiv.org/pdf/2402.15898.pdf
Codehttps://github.com/jonhue/transductive-active-learning
Posterhttps://jonhue.github.io/assets/pdf/neurips-2024-poster.pdf
Slideshttps://jonhue.github.io/assets/pdf/neurips-2024-slides.pdf
Latest Talkshttps://jonhue.github.io/talks/
→ all talkshttps://jonhue.github.io/talks/
🎥https://iclr.cc/virtual/2026/workshop/10000802
📝https://jonhue.github.io/assets/pdf/iclr-2026-spot-slides.pdf
🎥https://iclr.cc/virtual/2026/workshop/10000776
📝https://jonhue.github.io/assets/pdf/iclr-2026-ttu-slides.pdf
Interview on Self-Distillationhttps://www.youtube.com/watch?v=agitg8_0rlw
🎥https://drive.google.com/file/d/1QBFbRhWJfbH47GQhwBdhsqG-KdscHdTU/view?usp=sharing
📝https://jonhue.github.io/assets/pdf/self-distillation-slides.pdf
ELLIS Sardine Seminarshttps://sardine-lab.github.io/ellis-sardine-seminars/
🎥https://www.youtube.com/watch?v=npTAMtWtwNk
📝https://jonhue.github.io/assets/pdf/bliss-2026-slides.pdf
BLISS Speaker Serieshttps://bliss.berlin
TTU@ICLR'26https://openreview.net/attachment?id=hEnnYgRJdC&name=pdf
ICLR'26https://arxiv.org/pdf/2509.24510
SCALR@COLM'25https://arxiv.org/pdf/2507.18122
NeurIPS'25https://arxiv.org/pdf/2505.19850
COLM'25https://arxiv.org/pdf/2505.14136
AISTATS'25https://arxiv.org/pdf/2501.13535
ICLR'25https://arxiv.org/pdf/2410.08020
herehttps://las.inf.ethz.ch/teaching/student-projects

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