Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point
  Process   Many events occur in the world. Some event types are stochastically excited
or inhibited---in the sense of having their probabilities elevated or
decreased---by patterns in the sequence of previous events. Discovering such
patterns can help us predict which type of event will happen next and when. We
model streams of discrete events in continuous time, by constructing a neurally
self-modulating multivariate point process in which the intensities of multiple
event types evolve according to a novel continuous-time LSTM. This generative
model allows past events to influence the future in complex and realistic ways,
by conditioning future event intensities on the hidden state of a recurrent
neural network that has consumed the stream of past events. Our model has
desirable qualitative properties. It achieves competitive likelihood and
predictive accuracy on real and synthetic datasets, including under
missing-data conditions.

34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph