Newton-Based Methods for Bilevel Optimization Beyond Lower-Level Strong Convexity
Bilevel optimization provides a framework for machine learning tasks such as hyperparameter optimization, data reweighting, and…
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Bilevel optimization provides a framework for machine learning tasks such as hyperparameter optimization, data reweighting, and…
We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for associative…
I've been using AI extensively for ML research, and I've noticed a bottleneck: brainstorming research directions and generating…
“I think I have good news about the nature of neural networks.” With those simple words of optimism, Nick Cammarata, a researcher…
Researchers posted about a made-up concept on sites AI search tools cite. Four English-web tools cited it within a week. Other…
University of Michigan spinout Laplace Intelligence uses AI agents and interactive simulation to stress-test robots and…
This white paper explains how edge AI and physical AI help cities move beyond passive monitoring. It shows how urban…
What do AI agents do if you don’t tell them to do anything? The answer looks a lot like play. Researchers repeatedly stranded…
Release: llm-tools-datasette 0.1.1 When I switched LLM over to httpx2 in LLM 0.33 I forget that this would break any plugins…
Carolyn Marvin was arrested and charged with disorderly conduct after blocking the path of an Uber delivery robot and refusing to…
not looking for rants, just curious what people have accepted and how they deal with it. things like wrong dates, long documents…
Are we seeing any results here, is AI helping the process? So many people are suffering from chronic illnesses. Conditions that…
An AI company called HUMXN is trying something interesting: it's offering free plumbing, electrical, HVAC, and other home…
I'm sure many of us are slogging through impenetrable AI writing as we finish ICLR reviewing. I'll try to create an anonymized…
Distribution regression seeks to learn mappings from probability distributions to response variables and has emerged as a…
We study quantization for inner-product estimation when storage and reading have separate budgets. In the static bit-probe model…
Reinforcement learning with general utilities optimizes nonlinear functionals of policy-induced occupancy measures. We develop a…
Temporal graph neural networks (TGNNs) have shown strong performance on dynamic graph learning tasks by continuously updating…
Jailbreak papers report an attack success rate, the share of responses that deliver the harmful request, and read it as a…
Video generation models synthesize visual sequences from text and image inputs. Extending video generation to long animations…
On-device fine-tuning lets a large language model (LLM) learn from its user's private data without uploading it. Low-rank…
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