Calling all parsimony and learning researchers 🚨🚨 The 3rd annual CPAL will be held in Tübingen Germany March 23–26, 2026! Check out this year's website for all the details cpal.cc

RT @yuko_kuroki_cs: I'm so glad I could be a part of this amazing conference @CPALconf 😍

Check out this amazing video recap of CPAL 2026!

That’s a wrap! CPAL 2026 in Tübingen ✨ Four days, world-class keynotes, two tutorials, two poster sessions, and a deep dive into the future of efficient AI. This week, we hosted the 3rd @CPALconf 2026, in conjunction with the @MPI_IS and Tübingen AI Center, bringing together global experts to explore how low-dimensional structures are the key to advancing scientific foundations for learning with parsimony. A huge thank you to all organizers, speakers and attendees for making the event such a success. And a special thank you to our Principal Investigator, @Shiwei_Liu66, one of the Program Chairs and local organizer. read the recap here: institute-tue.ellis.eu/en/ne…

Incredibly proud to host @CPALconf in Tübingen! Great thanks to everyone who contributed their time, energy, and ideas to make this such a successful and stimulating event. It was a real pleasure to bring together so many wonderful speakers, researchers, and attendees for exciting discussions on efficient AI and learning with parsimony. It is an amazing piece of teamwork done together with the CPAL community @BurkholzRebekka, @wredman4, Saiprasad Ravishankar, @yuxiangw_cs, @qu_1006 @Jere_je_je, @VITAGroupUT, of course @YiMaTweets, and others!

And just like that CPAL 2026 comes to an end! Thank you to all who came to Tübingen and made it such a great, fun, and productive time! Stay tuned for updates on CPAL 2027 👀

Where does pronunciation live in a large language model(LLM) based text-to-speech(TTS) system, and how can we surgically modify it for specific texts while preserving all other model behavior? To answer this very question, we introduced SonoEdit at @CPALconf yesterday. Our core hypothesis is that pronunciation errors aren’t global but they live in localized internal representations. If you find them precisely, you can fix them precisely.

Me and @A_a_yush are at @CPALconf, and will be presenting SonoEdit(arxiv.org/abs/2601.17086) in the evening. Come talk with us about speech-native intelligence, speech to speech and text to speech. @smallest_AI

Our last Keynote Speaker of the day was by Jared Tanner from @UniofOxford

It isn't CPAL without the Wellness Session! This year featured a guided meditation and a research report on the benefits of meditation

Our afternoon session was started off with presentations by 5 of the CPAL Rising Star awardees

Our second keynote speaker is Taiji Suzuki from @UTokyo_News @RIKEN_JP !

CPAL 2026 is kicking off with a keynote lecture by Yingyu Liang from @hkudatascience !

If you're attending @CPALconf this week, come checkout REAP at the spotlight poster session! Paper: openreview.net/forum?id=ukGx… #CPAL #MachineLearning #DeepLearning #MoE #Cerebras #UniversityofCalgary #Compression

Arriving Tübingen for CPAL 2026! We'll be presenting 2 papers there: 🚀 FOSL: A Foldable Sparse-and-Low-Rank Method for Efficient LLM Pre-training 🚀 GRAIL: Post-hoc Compensation by Linear Reconstruction for Compressed Networks If you’re here, ping me to grab a ☕️ and chat.

Attending CPAL in Tubingen, Germany this week.

We got best paper award at CPAL. I am sure Ali will do a great job at presenting this work. There are some quite interesting insights in it.

Two Red Hat AI research papers accepted to major 2026 conferences. 1️⃣ Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant (Accepted to @CPALconf 2026) • A fully local, personalized writing assistant that learns your style and runs entirely on-device. • LoRA-style fine-tuning quantization • Built for sensitive data • Includes a Gmail plugin • Paper: arxiv.org/abs/2407.10994 • Code: github.com/IST-DASLab/PanzaM… Congrats to Red Hat AI teams @_EldarKurtic, @il_markov, @nir_shavit, and @DAlistarh. 2️⃣ Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization (Accepted to @iclr_conf 2026) • New FP4 approach for MXFP and NVFP • Optimized for latest AMD and NVIDIA GPUs, including DGX B200 • Introduces Micro-Rotated-GPTQ with block-wise Hadamard transforms • Paired with QuTLASS kernels for fast inference with negligible overhead • Paper: arxiv.org/abs/2509.23202 Congrats to Red Hat AI teams @RobertoL_Castro, @_EldarKurtic, Shubhra Pandit, Alexandre Marques, @markurtz_, and @DAlistarh. Fully local AI. Cutting-edge quantization. Real performance work shipping upstream.

🚨CPAL registration is open! cpal2026.vokdams-ticketservi…