diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 6c8d74ff..25050827 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -13,9 +13,9 @@ jobs:
       fail-fast: false
       matrix:
         ml-deps:
-          - "torch==1.9.1+cpu tensorflow-cpu==2.5.3"
           - "torch==1.10.2+cpu tensorflow-cpu==2.6.3"
           - "torch==1.11.0+cpu tensorflow-cpu==2.7.1"
+          - "torch==1.12.0+cpu tensorflow-cpu==2.8.1"
 
     env:
       run_coverage: ${{ github.ref == 'refs/heads/master' }}
diff --git a/setup.py b/setup.py
index ac570cc4..4318fe0e 100644
--- a/setup.py
+++ b/setup.py
@@ -1,7 +1,7 @@
 import setuptools
 
-tensorflow = ["tensorflow>=2.5"]
-pytorch = ["torch>=1.9"]
+tensorflow = ["tensorflow>=2.6"]
+pytorch = ["torch>=1.10"]
 sklearn = ["scikit-learn>=1.0"]
 cloud = ["tiledb-cloud"]
 full = sorted({"torchvision", *tensorflow, *pytorch, *sklearn, *cloud})
diff --git a/tiledb/ml/readers/pytorch.py b/tiledb/ml/readers/pytorch.py
index b50eda73..f39f183b 100644
--- a/tiledb/ml/readers/pytorch.py
+++ b/tiledb/ml/readers/pytorch.py
@@ -11,13 +11,6 @@
 import torch
 from torch.utils.data import DataLoader, IterableDataset, get_worker_info
 
-try:
-    # torch>=1.10
-    sparse_csr_tensor = torch.sparse_csr_tensor
-except AttributeError:
-    # torch=1.9
-    sparse_csr_tensor = torch._sparse_csr_tensor
-
 import tiledb
 
 from ._tensor_schema import DenseTensorSchema, SparseTensorSchema, TensorSchema
@@ -157,7 +150,7 @@ def _csr_to_coo_collate(arrays: Sequence[scipy.sparse.csr_matrix]) -> torch.Tens
 def _csr_collate(arrays: Sequence[scipy.sparse.csr_matrix]) -> torch.Tensor:
     """Collate multiple Scipy CSR matrices to a torch.Tensor with sparse_csr layout."""
     stacked = scipy.sparse.vstack(arrays)
-    return sparse_csr_tensor(
+    return torch.sparse_csr_tensor(
         torch.from_numpy(stacked.indptr),
         torch.from_numpy(stacked.indices),
         stacked.data,