
Tom Burns
@tfburns
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AI researcher. Previously @Cornell @ICERM @OISTedu @MonashUni. Opinions my own.
Joined April 2009
RT @konstmish: A gentle reminder that TMLR is a great journal that allows you to submit your papers when they are ready rather than rushing….
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RT @ShayneRedford: Thrilled to collaborate on the launch of 📚 CommonPile v0.1 📚 !. Introducing the largest openly-licensed LLM pretraining….
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RT @baophamhq: Diffusion models create novel images, but they can also memorize samples from the training set. How do they blend stored fea….
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RT @shuxnys: Thrilled to share our #Interspeech2025 paper: “A Silent Speech Decoding System from EEG & EMG with Heterogeneous Electrode Con….
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RT @danielmurfet: A few months ago I resigned from my tenured position at the University of Melbourne and joined Timaeus as Director of Res….
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RT @klindt_david: 🧵 New paper! We explore sparse coding, superposition, and the Linear Representation Hypothesis (LRH) through identifiabil….
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RT @jesse_hoogland: 1/ AI is accelerating. But can we ensure that AIs truly share our values and follow our goals? We argue that aligning a….
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RT @neuralreckoning: I wrote a thing for @_TheTransmitter. The attack on scientific infrastructure happening in the US shows that relying o….
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Glad to see this paper out! Congrats to @anna_hedstroem and the whole team :).
🚨 New paper alert! 🚨. We’re excited to share our latest work on interpretability evaluation:. "Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions". 📜 Accepted at TMLR 🎉.🔥 Survey certification 🔥.📖 Read:
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RT @DimaKrotov: I am super excited to announce the call for papers for the New Frontiers in Associative Memories workshop at ICLR 2025. New….
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@aisafety_course If you're interested in these topics, you can access the curriculum for free on their website:
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Pleased to share I've officially upskilled in AI governance and policy through a 12-week course from AI Safety Fundamentals (@aisafety_course). There were lots of interesting readings and discussions.
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RT @Ben_Hoov: Excited to share Dense Associative Memory through the Lens of Random Features accepted to #NeurIPS2024🎉. DenseAMs need new we….
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