Alexandre Kirchmeyer — accepted AI-conference papers

2024

Demonstrating Learning from Humans on Open-Source Dexterous Robot Hands

Kenneth Shaw, Ananye Agarwal, Shikhar Bahl, Mohan Kumar Srirama, Alexandre Kirchmeyer, Aditya Kannan +2

RSS 2024poster

Emulating human-like dexterity with robotic hands has been a long-standing challenge in robotics. In recent years, machine learning has demanded robot hands to be reliable, inexpensive and easy-to-reproduce. For the past few years we have been investigating how to address these demands. We will demo…

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2024

Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines

Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta, Yilong Qin, Boris Dadachev, Kishore Papineni +2

ICML 2024poster

Autoregressive language models are the currently dominant paradigm for text generation, however they have some fundamental limitations that cannot be remedied by scale---for example inherently sequential and unidirectional generation. While alternate classes of models have been explored, we have lim…

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2023

Convolutional Networks with Oriented 1D Kernels

Alexandre Kirchmeyer, Jia Deng

ICCV 2023poster

In computer vision, 2D convolution is arguably the most important operation performed by a ConvNet. Unsurprisingly, it has been the focus of intense software and hardware optimization and enjoys highly efficient implementations. In this work, we ask an intriguing question: can we make a ConvNet wo…

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