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Texas Symposium on Machine Learning, Responsible AI & Robotics
Join Texas Robotics, the Machine Learning Lab, and Good Systems on March 3 & 4 for a two-day symposium exploring responsible innovation in AI and Robotics. Discover boundary-breaking research insights and enjoy thought-provoking talks...
Upcoming Events
- February1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Particle physicists developed an algorithm called COWs (Customized Orthogonal Weights) for separating signals from backgrounds in certain…
- February2012:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: To assess the ability of current AI systems to correctly answer research-level mathematics questions, we share a set of...
- February2712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Sampling is a fundamental algorithmic task with many connections to optimization. In this talk, we survey a recent algorithm...
- March3throughMarch4Event Details
Join Texas Robotics, the Machine Learning Lab, and Good Systems on March 3 & 4 for a two-day symposium exploring...
Past Events
- February1412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Mainstream artificial neural network models, such as Deep Neural Networks (DNNs) are computation-heavy and energy-hungry. Weightless Neural…
- February712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Reinforcement Learning from Human Feedback (RLHF) has become the predominant method for aligning large language models (LLMs) to be...
- January3112:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: We pose a fundamental question in computational learning theory: can we efficiently test whether a training set satisfies the...
- December1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Deep neural networks (DNNs) have become popular tools to solve ill-posed image recovery problems, such as those associated with...
- December101:30 - 4 pmEvent Details
One of the most striking findings in modern research on large language models (LLMs) is that, given a model and...
- December612:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Computer vision has made remarkable advances through data-driven learning of image-text associations. Large-scale vision and language models like…
