Neural Information Processing Systems http://nips.cc/

Studying the behavior of non-human primates is essential for gaining evolutionary insights (Langer-graber et al., 2012), conducting biomedical research (Schapiro et al., 2005), and improving animal

Asuccessful autoformalization system could advance the fields of formal verification, program synthesis, and artificial intelligence. While the long-term goal of autoformalization seemed elusive for a long time, we show large language models provide new prospects towards this goal.

Mathematical optimization problems invarious settings havebeen widely studied, and numerous methods exist to solvethem [25,32].

For deep linear networks, these kernels satisfy a set of algebraic matrix equations. For nonlinear networks, we provide an alternating sampling procedure to self-consistently solve for the kernel order parameters.