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Apple is promising personalized...

At its Worldwide Developer Conference on Monday, Apple for the first time...

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This story originally appeared in The Algorithm, our weekly newsletter on AI....

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The rise of generative AI, coupled with the rapid adoption and democratization...

Five ways criminals are...

Artificial intelligence has brought a big boost in productivity—to the criminal underworld.  Generative...
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Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration



A recent line of work shows that notions of multigroup fairness imply surprisingly strong notions of omniprediction: loss minimization guarantees that apply not just for a specific loss function, but for any loss belonging to a large family of losses. While prior work has derived various notions of omniprediction from multigroup fairness guarantees of varying strength, it was unknown whether the connection goes in both directions. In this work, we answer this question in the affirmative, establishing equivalences between notions of multicalibration and omniprediction. The new definitions that…



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Swallowing the Bitter Pill: Simplified Scalable Conformer Generation

We present a novel way to predict molecular conformers through a simple formulation that sidesteps many of the heuristics of prior works and achieves state of the art results by using the advantages of scale. By training a...

KPConvX: Modernizing Kernel Point Convolution with Kernel Attention

In the field of deep point cloud understanding, KPConv is a unique architecture that uses kernel points to locate convolutional weights in space, instead of relying on Multi-Layer Perceptron (MLP) encodings. While it initially achieved success, it has...

Efficient Diffusion Models without Attention

Transformers have demonstrated impressive performance on class-conditional ImageNet benchmarks, achieving state-of-the-art FID scores. However, their computational complexity increases with transformer depth/width or the number of input tokens and requires patchy approximation to operate on even latent input sequences....