1) Breaking Mechanical Holography in Combinatorial Metamaterials - building blocks that don't induce holographic order allow to build lots of mechanially compatible metamaterials and to design the texture (almost) on their entire boundary
arxiv.org/abs/2411.15760
1) Breaking Mechanical Holography in Combinatorial Metamaterials - building blocks that don't induce holographic order allow to build lots of mechanially compatible metamaterials and to design the texture (almost) on their entire boundary
arxiv.org/abs/2411.15760
In this paper with Haim Sompolinsky, we simplify and unify derivations for high-dimensional convex learning problems using a bipartite cavity method.
arxiv.org/abs/2412.01110
In this paper with Haim Sompolinsky, we simplify and unify derivations for high-dimensional convex learning problems using a bipartite cavity method.
arxiv.org/abs/2412.01110
Link: doi.org/10.1103/Phys...
Alt: arxiv.org/abs/0712.0835
I didn't focus much about graphene in the above post, but I will always love it especially for the charming "scotch tape" method.
Link: doi.org/10.1103/Phys...
Alt: arxiv.org/abs/0712.0835
I didn't focus much about graphene in the above post, but I will always love it especially for the charming "scotch tape" method.
Here is an illustration (for a bistable model) of "my definition" so far:
References: arxiv.org/abs/1103.0169
www.nature.com/articles/350...
Here is an illustration (for a bistable model) of "my definition" so far:
References: arxiv.org/abs/1103.0169
www.nature.com/articles/350...
arxiv.org/abs/2412.01330
arxiv.org/abs/2412.01330
MotionFix: Text-Driven 3D Human Motion Editing
arXiv: arxiv.org/abs/2408.00712
Demo: huggingface.co/spaces/atnik...
Project: motionfix.is.tue.mpg.de
Dataset: motionfix.is.tue.mpg.de/explore.php pic.x.com/70CoLIlSxM
MotionFix: Text-Driven 3D Human Motion Editing
arXiv: arxiv.org/abs/2408.00712
Demo: huggingface.co/spaces/atnik...
Project: motionfix.is.tue.mpg.de
Dataset: motionfix.is.tue.mpg.de/explore.php pic.x.com/70CoLIlSxM
- very nice results
- interesting that TTT helps smaller models more (sign that scale is disproportionately useful for more memorization?)
- What a pain, I really hope we don't have to do this 😅
arxiv.org/abs/2411.07279
- very nice results
- interesting that TTT helps smaller models more (sign that scale is disproportionately useful for more memorization?)
- What a pain, I really hope we don't have to do this 😅
arxiv.org/abs/2411.07279
arxiv.org/abs/2412.01001
arxiv.org/abs/2412.01001
Official copy: ieeexplore.ieee.org/abstract/doc...
ArXiv version: arxiv.org/pdf/2407.05478
Official copy: ieeexplore.ieee.org/abstract/doc...
ArXiv version: arxiv.org/pdf/2407.05478
”A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution“
It works so well that a 7B open-source LLM outperforms GPT-4 with prompting at identifying unique writing style. 🔍
👉 Learn more: arxiv.org/pdf/2410.217...
”A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution“
It works so well that a 7B open-source LLM outperforms GPT-4 with prompting at identifying unique writing style. 🔍
👉 Learn more: arxiv.org/pdf/2410.217...
The law review version is in press, forthcoming in early 2025.
arxiv.org/abs/2404.12590
The law review version is in press, forthcoming in early 2025.
arxiv.org/abs/2404.12590
And the always remarkable Pete Sercel put this paper on arxiv to accompany his talk: arxiv.org/abs/2412.00602
Absolutely worth a read.
And the always remarkable Pete Sercel put this paper on arxiv to accompany his talk: arxiv.org/abs/2412.00602
Absolutely worth a read.
@gadelha.bsky.social
, Noam Aigerman
@noamiko.bsky.social
, Vova Kim @vovakim.bsky.social and Amit Bermano.
Check out our paper for more details 📜: arxiv.org/abs/2412.00518
7/end
@gadelha.bsky.social
, Noam Aigerman
@noamiko.bsky.social
, Vova Kim @vovakim.bsky.social and Amit Bermano.
Check out our paper for more details 📜: arxiv.org/abs/2412.00518
7/end
I was the main person pushing this out, though I'm not the best at the technical stuff so the coauthors helped a lot with honing in the language and proofs, couldn't have done it without them!
I was the main person pushing this out, though I'm not the best at the technical stuff so the coauthors helped a lot with honing in the language and proofs, couldn't have done it without them!
/An illustrated introduction to the arithmetic of Apollonian circle packings, continued fractions, and other thin orbits/
Katherine E. Stange
/An illustrated introduction to the arithmetic of Apollonian circle packings, continued fractions, and other thin orbits/
Katherine E. Stange
cc #iTeachMath ♾️
bcc #MathSky 🧮
s/o @jlanier.bsky.social, too
arxiv.org/abs/2412.02050
cc #iTeachMath ♾️
bcc #MathSky 🧮
s/o @jlanier.bsky.social, too
arxiv.org/abs/2412.02050
"The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications"
arxiv.org/abs/2412.01953
#stats #mlsky #blueskai 📈📉
"The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications"
arxiv.org/abs/2412.01953
#stats #mlsky #blueskai 📈📉
with Unstructured Textual Data
Use a fine-tuned LLM embeddings to rescale forecasts using natural language prompts to capture seasonal nuances
arxiv.org/abs/2412.02525
with Unstructured Textual Data
Use a fine-tuned LLM embeddings to rescale forecasts using natural language prompts to capture seasonal nuances
arxiv.org/abs/2412.02525