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Browse files- papers.csv +1 -1
papers.csv
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@@ -1320,7 +1320,7 @@ Differentiable Simulations for Enhanced Sampling of Rare Events,"Martin Šípka,
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Gaussian processes at the Helm(holtz): A more fluid model for ocean currents,"Renato Berlinghieri, Brian Trippe, David Burt, Ryan Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Xia, Tamara Broderick",http://arxiv.org/abs/2302.10364,,https://huggingface.co/papers/2302.10364,,,,2302.10364,8,1
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Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons,"Rasmus Kjær Høier, D. Staudt, Christopher Zach",http://arxiv.org/abs/2302.01228,,https://huggingface.co/papers/2302.01228,,,,2302.01228,3,0
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Quantized Distributed Training of Large Models with Convergence Guarantees,"Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh",http://arxiv.org/abs/2302.02390,,https://huggingface.co/papers/2302.02390,,,,2302.02390,4,0
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SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models,"Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han",http://arxiv.org/abs/2211.10438,https://github.com/mit-han-lab/smoothquant,https://huggingface.co/papers/2211.10438,,,,2211.10438,6,
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Efficiently predicting high resolution mass spectra with graph neural networks,"Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler",http://arxiv.org/abs/2301.11419,,https://huggingface.co/papers/2301.11419,,,,2301.11419,6,0
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Learning to Design Analog Circuits to Meet Threshold Specifications,"Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox",,,,,,,,,
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Can Large Language Models Reason about Program Behavior?,"Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin",,,,,,,,,
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Gaussian processes at the Helm(holtz): A more fluid model for ocean currents,"Renato Berlinghieri, Brian Trippe, David Burt, Ryan Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Xia, Tamara Broderick",http://arxiv.org/abs/2302.10364,,https://huggingface.co/papers/2302.10364,,,,2302.10364,8,1
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Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons,"Rasmus Kjær Høier, D. Staudt, Christopher Zach",http://arxiv.org/abs/2302.01228,,https://huggingface.co/papers/2302.01228,,,,2302.01228,3,0
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Quantized Distributed Training of Large Models with Convergence Guarantees,"Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh",http://arxiv.org/abs/2302.02390,,https://huggingface.co/papers/2302.02390,,,,2302.02390,4,0
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SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models,"Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han",http://arxiv.org/abs/2211.10438,https://github.com/mit-han-lab/smoothquant,https://huggingface.co/papers/2211.10438,,,,2211.10438,6,2
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Efficiently predicting high resolution mass spectra with graph neural networks,"Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler",http://arxiv.org/abs/2301.11419,,https://huggingface.co/papers/2301.11419,,,,2301.11419,6,0
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Learning to Design Analog Circuits to Meet Threshold Specifications,"Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox",,,,,,,,,
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Can Large Language Models Reason about Program Behavior?,"Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin",,,,,,,,,
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