Researchers describe character varieties for Hopf links, proving geometric properties.
arXiv research
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Study homogeneous Lorentzian manifolds under reductive Lie groups, reducing descriptions to semisimple groups.
We give explicit equations that describe the character variety of the figure eight knot for the groups SL(3,C), GL(3,C) and PGL(3,C). This has five components of dimension 2, one consisting of totally reducible representations, another one consisting of partially reducible representations, and three components of irred…
Characterizes totally elliptic surface group representations into Lie groups.
A totally geodesic map between Hermitian symmetric spaces is tight if its image contains geodesic triangles of maximal area. Tight maps were first introduced in [BIW09], and were classified in [Ham13, Ham14, HO14] in the case of irreducible domain. We complete the classification by analy…
Paper addresses the disparity between sampled and mean representations in disentangled learning.
That announcement gives the structure of totally reducible linear Lie algebras which are the Lie algebra of the holonomy group of (at least) one torsion-free connection. The result uses the (already known) classi cation of the irreducible ones and some previous (unpublished) works by the author giving the classi cation…
Character varieties of knot groups into SU(3) are stratified and analyzed.
Unsupervised learning of disentangled representations involves uncovering of different factors of variations that contribute to the data generation process. Total correlation penalization has been a key component in recent methods towards disentanglement. However, Kullback-Leibler (KL) divergence-based total correlatio…
We prove that given a pseudo-Riemannian conformal structure whose conformal holonomy representation fixes a totally lightlike subspace of arbitrary dimension, there is, wrt. a local metric in the conformal class defined off a singular set, a parallel, totally lightlike distribution on the tangent bundle which contains …
Geometrically represents path integral reduction Jacobian for interacting systems.
We consider the initial situation where a dataset has been over-partitioned into clusters and seek a domain independent way to merge those initial clusters. We identify the total variation distance (TVD) as suitable for this goal. By exploiting the relation of the TVD to the Bayes accuracy we show how neural networ…
We consider strict and complete nearly Kaehler manifolds with the canonical Hermitian connection. The holonomy representation of the canonical Hermitian connection is studied. We show that a strict and complete nearly Kaehler is locally a Riemannian product of homogenous nearly Kaehler spaces, twistor spaces over quate…
We prove a Milnor-Wood inequality for representations of the fundamental group of a compact complex hyperbolic manifold in the group of isometries of quaternionic hyperbolic space. Of special interest is the case of equality, and its application to rigidity. We show that equality can only be achieved for totally geodes…
We offer an alternative construction of Roberts' totally twisted Khovanov homology and prove that it agrees with delta-graded reduced characteristic-2 Khovanov homology.
We use the Cartan representations of and , and an irreducible 14-dimensional representation of to construct certain totally geodesic submanifolds in "skew" position in the complex quadrics, the complex 2-Grassmannians and the quaternionic 2-Grassmannians.
Proposes TCWAE to learn disentangled representations using the Wasserstein Autoencoder.
In the last decade, traditional dictionary learning methods have been successfully applied to various pattern classification tasks. Although these methods produce sparse representations of signals which are robust against distortions and missing data, such representations quite often turn out to be unsuitable if the fi…
For any Legendrian knot in standard contact we relate counts of ungraded (-graded) representations of the Legendrian contact homology DG-algebra with the -colored Kauffman polynomial. To do this, we introduce an ungraded -colored ruling polynomial, …
New proofs given for space curves with totally positive torsion.
Characterizes components of representations space for punctured surfaces.
We study the first-order scattering transform as a candidate for reducing the signal processed by a convolutional neural network (CNN). We show theoretical and empirical evidence that in the case of natural images and sufficiently small translation invariance, this transform preserves most of the signal information nee…
Let be a non-uniform lattice in without torsion and with . We introduce the notion of volume for a representation where . We use this notion to generalize the Mostow--Prasad rigidity theorem. More precisely, we show that given a sequence of representations $ρ_n:…
Characterizes Anosov reducible representations in terms of eigenvalues.
Study Anosov representations of reducible suspensions of hyperbolic groups.
Using Green's theorem we reduce the variation of the total mean curvature of a smooth surface in the Euclidean 3-space to a line integral of a special vector field and obtain the following well-known theorem as an immediate consequence: the total mean curvature of a closed smooth surface in the Euclidean 3-space is sta…
WR-CP reduces prediction set size and coverage gap under distribution shift.
Researchers parametrize spaces of positive representations for Lie groups.
Proves Gromov's conjecture on total mean curvature using surgery and positive mass theorems.
Let be a surface bundle over a circle with monodromy . We study deformations of certain reducible representations of into , obtained by composing a reducible representation into with the irreducible representation $\text{SL}(2,\mathb…
We study five dimensional geometries associated with the 5-dimensional irreducible representation of GL(2,R). These are special Weyl geometries in signature (3,2) having the structure group reduced from CO(3,2) to GL(2,R). The reduction is obtained by means of a conformal class of totally symmetric 3-tensors. Among all…
Improves diffusion models by controlling total variance and signal-to-noise-ratio.
We study a particular class of representations from the fundamental groups of punctured spheres to the group (and their moduli spaces), that we call \emph{super-maximal}. Super-maximal representations are shown to be \emph{totally non hyperbolic}, in the sense that every simple clos…
This study finds ESG rating disagreement reduces corporate productivity, especially in certain types of firms.
Large batch sizes reduce gradient variance in DP-SGD, improving privacy.
We prove that a sequence of quasi-Fuchsian representations for which the critical exponent converges to the topological dimension of the boundary of the group (larger than 2), converges up to subsequence and conjugacy to a totally geodesic representation.
New algorithm REFUEL shows multitask representation learning is more sample-efficient in RL.
Advances in unsupervised learning enable reconstruction and generation of samples from complex distributions, but this success is marred by the inscrutability of the representations learned. We propose an information-theoretic approach to characterizing disentanglement and dependence in representation learning using mu…
We lift the characteristic-2 totally twisted Khovanov homology of Roberts and Jaeger to a theory with integer coefficients. The result is a complex computing reduced odd Khovanov homology for knots. This complex is equivalent to a spanning-tree complex whose differential is explicit modulo a sign ambiguity coming from …
Study Riemannian geometry of maximal surface group representations in pseudo-hyperbolic space.
We study the normal holonomy group, i.e. the holonomy group of the normal connection, of a CR-submanifold of a complex space form. We complete the local classification of normal holonomies for complex submanifolds. We show that the normal holonomy group of a coisotropic submanifold acts as the holonomy representation o…
Language models allocate information storage, not collapsing into uniform representations.
Let be a knot in and its complement. We study deformations of non-abelian, metabelian, reducible representations of the knot group into which are associated to a simple root of the Alexander polynomial. We prove that certain of these metabelian reducible representatio…
Let be a compact, connected, orientable surface of genus . We ask for a parametrization of the discrete, faithful, totally loxodromic representations in the deformation space . We show that such a representation, under some hypothesis, can be determined …
WeLa-VAE learns interpretable disentangled representations with weak supervision.
Deep reinforcement learning requires a heavy price in terms of sample efficiency and overparameterization in the neural networks used for function approximation. In this work, we use tensor factorization in order to learn more compact representation for reinforcement learning policies. We show empirically that in the l…
Real projective structures on -orbifolds are useful in understanding the space of representations of discrete groups into or . A recent work shows that many hyperbolic manifolds deform to manifolds with such structures not projectively equivalent to the o…
GCAE uses density estimation to achieve reliable disentanglement in latent space.