Robert Bamler @robamler
Professor of Data Science and Machine Learning at @uni_tue, member of @ml4science and Tübingen AI Center. robamler.github.io Tübingen, Germany Joined October 2011-
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Did you know that the training/test set split of the SVHN data set is biased, making SVHN unsuitable for evaluating generative models? Learn more from my students @TimZXiao and @johanneszenn at the DistShift workshop at #NeurIPS2023 tomorrow (10.30 am, room R06-R09).
Did you know that the training/test set split of the SVHN data set is biased, making SVHN unsuitable for evaluating generative models? Learn more from my students @TimZXiao and @johanneszenn at the DistShift workshop at #NeurIPS2023 tomorrow (10.30 am, room R06-R09).
Training variational autoencoders on samples from a diffusion model essentially eliminates their known tendency to overfit the encoder without sacrificing model performance. Congrats to my PhD students @TimZXiao and @johanneszenn on their latest preprint! arxiv.org/abs/2310.19653
If you're at ICLR, join my student @johanneszenn at the Tiny Paper poster session today from 1.15 to 3.15 pm in room MH4. You'll be surprised how many insights can fit in a 2-page paper! arxiv.org/abs/2304.14390
If you're in Kigali for ICLR this week, let's meet and chat over some drinks tomorrow at @TimZXiao's poster on rate/distortion theory of hierarchical VAEs. It's poster #106 in the MH rooms from 4:30 to 6:30. iclr.cc/virtual/2023/p…
There is no need for gradients due to resampling in Differentiable Sequential Monte Carlo Samplers! Check out our recent work (arxiv.org/abs/2304.14390) with @robamler and meet us at the poster on Friday!
There is no need for gradients due to resampling in Differentiable Sequential Monte Carlo Samplers! Check out our recent work (arxiv.org/abs/2304.14390) with @robamler and meet us at the poster on Friday!
My student @johanneszenn found a useful fact about differential sequential Monte Carlo samplers: you can ignore any gradients due to resampling because they vanish in expectation. Check out his accepted ICLR DEI paper and meet us at the poster on Friday. arxiv.org/abs/2304.14390
The 2nd iteration of the "Neural Compression: From Information Theory to Applications" workshop will take place @icmlconf in Hawaii this year! Submissions due May 27th. For more details:neuralcompression.github.io/workshop23 @BerivanISIK @YiboYang @_dsevero @karen_ullrich @robamler @s_mandt
We just got the green light to hold another workshop on machine-learning-based data compression—this time at ICML. I'm very excited! Stay tuned for details and for the call for papers.
We just got the green light to hold another workshop on machine-learning-based data compression—this time at ICML. I'm very excited! Stay tuned for details and for the call for papers.
How do LLMs connect to modern computers in zero-shot problem solving abilities and histories? Our latest blog post provides a fresh perspective on understanding LLMs and the prompting paradigm. Check it out! timx.me/blog/2023/comp… @Besteuler @robamler #ChatGPT
Looking for the one VAE to rule them all? The bad news: it doesn't exist. The good news: our recently accepted ICLR 2023 paper shows how to optimally allocate information to each latent layer depending on your application: arxiv.org/abs/2302.04855 @TimZXiao @ml4science #ICLR2023
Sehr cool, dass das RHET AI morgen eine kostenlose Kinovorführung anbietet! Gezeigt wird "Ex Machina" im Arsenal Kino Tübingen morgen (Freitag) um 20:00. Und wer mag, kann danach für eine Nachbesprechung bleiben. Ich bin gespannt! eventbrite.de/e/wie-viel-sci…
Sehr cool, dass das RHET AI morgen eine kostenlose Kinovorführung anbietet! Gezeigt wird "Ex Machina" im Arsenal Kino Tübingen morgen (Freitag) um 20:00. Und wer mag, kann danach für eine Nachbesprechung bleiben. Ich bin gespannt! eventbrite.de/e/wie-viel-sci…
Schön zu sehen (und völlig richtig), dass es @jugend_forscht in die Tagesschau schafft. Herzlichen Glückwunsch an die Bundessieger:innen! Wir brauchen diesen Nachwuchs (übrigens auch in den Jurys, falls sich hier jemand angesprochen fühlt...). youtu.be/lA7gDBx1rKE?t=…
Our workshop on neural data compression will start in an hour. Excited about an amazing lineup of speakers and panelists! #ICLR2021 neuralcompression.github.io
I look forward to teaching this new course on machine-learning-based data compression at @uni_tue. From information theory to novel applications—this will be a challenging but also an exciting course. With guest stars Christopher Schroers and @s_mandt. @ml4science
Can we in Germany please finally admit that it's been a mistake to fight the one industry that was predictably going to save humanity from a disaster one day? We've been putting ideology above science for decades, and now we lack the production capacity we desperately need.
Can we in Germany please finally admit that it's been a mistake to fight the one industry that was predictably going to save humanity from a disaster one day? We've been putting ideology above science for decades, and now we lack the production capacity we desperately need.
Herzlichen Glückwunsch an die Landessieger @jugend_forscht Baden-Württemberg! Wer die beeindruckende Preisverleihung versäumt hat, kann sie hier nachschauen: youtu.be/LKTJW06wJ1M?t=…
Deadline Extension: our ICLR Neural Compression Workshop's submission site is now open until *Sunday, 11:59 pm AoE*.
Deadline Extension: our ICLR Neural Compression Workshop's submission site is now open until *Sunday, 11:59 pm AoE*.
Bora Kargı @Coffeegasm3
58 Followers 345 Following 💻 MSc. ML @ University of Tübingen 🔋 METU CENG 2023🐘 Álvaro Tejero-C.. @alvorithm
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619 Followers 2K Following 🇮🇹 3rd yr Stats PhD @EdinUniMaths 🏴.🤔💭 about importance sampling, uncertainty quantification. In search of explanations, simple ideas, clarityBálint Mucsányi @BalintMucsanyi
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233K Followers 307 Following Analytical journalism in words and graphics from The New York Times. Our newsletter: https://t.co/DclvAjp9cj2⃣ Wie viel Science steckt in der Fiction? Filmvorführung "Ex Machina" und Diskussion; mit Lukas Kohmann und Anne Burkhardt von RHET AI – und @robamler von @ml4science Eintritt frei! Zur Anmeldung (und dem ganzen Programm): uni-tuebingen.de/#1565282panel-…
Wir sind mit 2⃣ Veranstaltungen bei den Science & Innovation Days @uni_tue in dieser Woche! 1⃣ Künstliche Intelligenzen der Zukunft: Lesung & Gespräch mit Autorin Emma Braslavsky (@suhrkamp) und @nnludwig von @ml4science moderiert von @emgehoh 29.6., 20.30 Uhr, Café Willi
University of Tübingen: Solidarity with #Ukraine 🇺🇦 uni-tuebingen.de/en/university/… #StandWithUkraine #uni_tue @osteuropa_tue @German_U15 @civis_eu @MatarikiNetwork @HRK_aktuell
We’re kicking off our collaborative program with @AIMS_Next! Welcome to Tübingen and @uni_tue , Tshenolo, Tatenda, Wafaa, Bolaji and Faisal! Each of them has been awarded a fully funded fellowship for 6 months. More info: nexteinstein.org/i2/aims-tubing… and uni-tuebingen.de/en/223692
I’ve just been informed the Uni has granted permission for me to teach in presence next term, and they finally gave me a lecture hall. This is the best news since February 2020. Hey #Tuebingen CS/ML MSc students! See you in N1 on 18 October! Now, let me get a haircut…
This will surely be an exciting course and add to the list of great lectures on the "Tübingen Machine Learning" Youtube channel.
I look forward to teaching this new course on machine-learning-based data compression at @uni_tue. From information theory to novel applications—this will be a challenging but also an exciting course. With guest stars Christopher Schroers and @s_mandt. @ml4science
In der #DrittenWelle: Unser KiGa ist (noch) offen, mit viel Elternhilfe gibts freiwillige Schnelltests. Widerstand dagegen von Eltern wegen Sorge um falsch positive (!) Tests und Datenschutz ('man darf nicht sehen wer sich nicht testen lässt?'). Wir arbeiten hart am #Lockdown!
2.2/n ... dynamic Word2Vec (Zijun Yao et al., arxiv.org/abs/1703.00607), the dynamic skip-gram model (@robamler and @s_mandt, arxiv.org/abs/1702.08359), and Dynamic Bernoulli Embeddings (Maja Rudolph an @blei_lab's David Blei, arxiv.org/abs/1703.08052) ...